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Business Analyst Salary in India 2024 [For Freshers & Experienced]
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Business Analyst Salary in India 2024 [For Freshers & Experienced]

Over the years, Business Analysis has emerged as a core business practice in the enterprise and IT sectors. It pertains to understanding the changing business needs, evaluating the impact of such changes, identifying and analyzing the requirements and documenting the same, and facilitating communication among all the stakeholders involved. This is essentially what Business Analysts do.  Business Analysts act as a bridge between an organization’s IT and Business domains and contribute actively to its profitability and sustainability. Since traditional methods no longer suffice for catering to the dynamic needs of the complex business environment, Business Analysis comes to the rescue. With their expertise, agility, and drive for innovation, Business Analysts guide enterprises in improving their processes and quality of products/services while ensuring the timely dispatch of client deliverables. Check out our business analytics free online courses What does it take to be a Business Analyst? The fundamental job responsibility of a Business Analyst is to elicit, analyze, and validate the change requirements for business processes, information systems, and policies and to communicate them with all stakeholders. Entailing all these critical responsibilities, there is ample business analyst scope in India. They interact with both the business partners and users to understand how data-driven changes to business processes, products/services, and software/hardware can enhance efficiencies and add value to the organization.  They work in close collaboration with the IT and Financial reporting teams to design and implement new business models to support the proposed business decisions and to establish initiatives/policies to improve productivity and to optimize costs.  They identify an organisation’s business goals and problems and create lucrative solutions. Their excellent problem-solving skills suggest a high business analyst average salary. They understand and gather business requirements from stakeholders and clients. They proactively offer feedback on a software application’s design and employ the innovative features that a business requires. This is another reason behind accelerating business analyst salary in leading organisations. They assess the functional and non-functional requirements in a corporate. They organise regular meetings with clients and stakeholders to discuss business concerns and derive solutions. The scope of business analyst in India is increasing because they are experts at ensuring that business solutions are aligned with the client’s requirements. Also, they validate a project’s status through user acceptance testing. The business analyst average salary is admirable in many small and large-scale organisations. This is because they can document and build data visualisations to deliver all the project outcomes. They analyze what’s financially and technologically feasible for the company.  Read: What is business analytics – Its Career scope, Salary & Job Roles. According to Robert Half Technology, the job description of a Business Analyst includes: Creating detailed business analysis and drafting problems, opportunities, and solutions for a company. Defining business requirements and reporting them back to stakeholders. Budgeting and forecasting. Planning and monitoring. Variance analysis. Pricing. Reporting.  Although a Business Analyst need not have an IT background, he/she must have a basic understanding of how IT systems function. What they need is a strong and in-depth understanding of the business domain. Prior experience in forecasting, budgeting, and financial analysis are highly commendable. Apart from this, it is beneficial to be well-versed with the regulatory and reporting requirements. While for entry-level Business Analyst job roles, a bachelor’s degree in Business Administration/Management/Information Technology is enough, mid-level and senior-level positions often demand a master’s degree in business analytics or any other related fields.  Learn best MBA courses from the World’s top Universities. Earn Masters, Executive PGP, or Advanced Certificate Programs to fast-track your career. The Evolving Role of Business Analysts in the Age of Digital Transformation  1. Digital Transformation and Competitive Landscape Rapid changes in the business landscape make digital transformation essential for staying competitive. Organizations are adopting digitalization strategies to keep up with market demands. 2. Impact on Business Analysts Digital transformation has reshaped the role of business analysts. Traditionally, business analysts are focused on process improvement and requirements gathering. 3. Navigating Technological Advancements Modern business analysts now face the challenge of understanding complex technological advancements. These advancements include artificial intelligence, machine learning, and data analytics. 4. Understanding Technological Tools Business analysts must possess a strong understanding of tools like AI, ML, and data analytics. They need to bridge the gap between business needs and technological capabilities. 5. Leveraging Data-Driven Insights Business analysts have a new responsibility: leveraging data-driven insights. These insights are crucial for driving innovation and strategic decision-making. 6. Adapting Skills for Data Extraction As part of their role, business analysts must adapt their skills to extract meaningful information from data. This skill is essential for providing valuable insights to guide decision-making. 7. Aligning with Digital Transformation The recommendations provided by business analysts should align with digital transformation initiatives. They play a pivotal role in guiding organizations through technological changes. 8. Enhancing Organizational Innovation Business analysts contribute to organizational innovation by incorporating technology-driven insights. They help identify opportunities for process optimization and product/service enhancement. 9. Holistic Role of Modern Business Analysts Modern business analysts act as intermediaries between business objectives and technological possibilities. They combine their traditional expertise with a tech-savvy approach to maximize organizational growth. 10. Continual Learning and Adaptation To excel in the digital era, business analysts must embrace continual learning. Staying updated with the latest technological trends is crucial for their effectiveness. Business Analyst: Who Are They? Business Analysts are experts holding specialization in the BI or Business Intelligence sector. They operate as an intermediary or link between an organization’s business and IT departments, intending to boost its profitability and viability.   Today, companies pay a good business analyst salary to make improvements to the company’s goods, services, and level of quality using their expertise. Business Analyst: What Do They Do? A business analyst’s main responsibility is communicating with business executives to learn how data-driven decisions might increase organizational effectiveness.  Business analysts evaluate organizational processes, grasp numerous business requirements, and give concepts, suggestions, and reports to help management understand the state of the company.  Ultimately, they implement business ideas that are technically and financially feasible for the organization. But given that the business analyst salary in India is more than the industry standard, they need to take on a lot of roles and responsibilities.  So, now go over each of these professions’ distinct tasks and duties.  Analyze the business procedures to determine the needs  Determine what needs to be improved, then take action.  Analyze the operational procedures to develop optimisation ideas. Keep up with the most recent technological developments.  Automate the business’s current procedures.  Outline and make your suggestions on how to make these systems better.  Share your ideas and ambitions with the company’s various divisions.  Work with the business’s IT department and the clientele.  Gather information and data from different stakeholders to create useful reports.  Maintain resource allocation and cost-effectiveness. Implement updated business procedures.  Becoming a Business Analyst: How To Proceed? The steps listed below must be followed in order to master business analytics and become a business analyst:  Obtain a business-related bachelor’s degree or an MBA.  Obtain analytical job experience and develop your reporting and documentation skills  Get practice using different business analytics tools  Obtain work experience working on numerous projects for your sector  Acquire expertise in Microsoft Word, Excel, Outlook, and other programmes. Business Analyst Salary in India Source The salary of a Business Analyst in India depends upon several factors like company size and reputation, job position, location, education qualifications, and experience. Usually, reputed companies like TCS, Amazon, Accenture, Deloitte, etc., pay higher salaries. Then again candidates hailing from reputed institutes/b-schools earn more than their counterparts. This holds true for work experience as well – the more your experience, the higher will be your market value. The average salary of business analyst in India is INR 9,70,000 per year. The salaries range from INR 2,80,000 to INR 16,30,000 per year. Our learners also read: Learn business analytics free! Salary scale – Popular companies in India Tata Consultancy Services (TCS), Accenture, Computer Sciences Corporation (CSC), and Capgemini offer the are some of the top companies with the highest salary packages for Business Analysts. While the average annual salary at Accenture is Rs. 7,04,965, Capgemini and TCS offer around Rs. 7,03,178 and Rs. 696,132 respectively. HCL, Wipro, and CSC fall on the lower end of the salary scale with the average annual salary standing around Rs. 5,21,246, Rs. 5,79,188, and Rs. 6,02,435, respectively.  Source Salary packages of reputed e-commerce platforms like Amazon are also great. In India, the average annual salary of a Business Analyst at Amazon ranges anywhere between Rs. 3,28,484 – 17,83,171, with senior-level roles earning the higher end of the salary scale. Also read: Business analyst career path and professional roles. upGrad’s Exclusive Business Analytics Webinar for you – How upGrad helps for your Business Analytics Career? document.createElement('video'); https://cdn.upgrad.com/blog/alumni-talk-by-monalisha-dash.mp4   Salary scale – Experience Level Generally, the salary packages for entry-level roles remain anywhere between Rs. 3,50,000 – 5,00,000. For instance, the average annual Business Analyst salary (including tips, bonus, and overtime pay) at the entry-level in IT with less than 1-year experience is around Rs 3,59,807. However, the Business Analyst salary for those having 1-4 years of experience can earn an annual compensation of Rs 5,27,712.  Source The salary level increases as experience increases. While a Business Analyst having 5-9 years of industry experience can earn around Rs. 8,30,975, a Senior Business Analyst, with over 15 years of experience, can easily make Rs 12,09,787. Going further, the salary increases up to Rs. 16,54,946. Thus, we can tell that the fresher business analyst salary is a lot lower than the senior business analyst’s.  Salary scale – Location Salary packages also differ considerably according to location as well. For instance, Business Analysts in Pune and Bangalore earn around 17.7% and 12.9% more than the national average. Noida (8.2% less), Chennai (5.2% less), and Hyderabad (4.2% less) record the lowest level salaries.  Source Business analysts in Pune earn around 20% more than the national average. Business analyst salary Bangalore and Gurgaon are 18% and 9% more than the national average, respectively. Salaries in Mumbai and Delhi are 2% and 3% less than the national average. Noida records one of the lowest salaries, around 25% less than the national average. Owing to the significant scope of business analyst in India, it is imperative to determine the most influencing factors. One of the most dominating factors that influence business analyst entry level salary is location. Not only do senior business analyst salary in India, but many fresher business analysts possessing exceptional skills can get an admirable salary, for instance, business analyst salary Bangalore is comparatively higher than in any other place. So, the entry level business analyst salary is great for skilled freshers in prime locations. The average business analyst salary Bangalore is Rs.9,00,000 per annum. Moreover, the average additional cash compensation to be added to a business analyst salary in Bangalore is Rs.1,00,000, with a range of Rs.50,000 – Rs.2,57,400. Candidates aiming to obtain higher packages can rely on business analyst salary in Bangalore. Many leading companies on the lookout for business analysts offer outstanding salaries. The companies offering great business analyst salary Pune: 2COMS Consulting Pvt Ltd Ikya Human Capital Solutions Pvt Ltd Zensar Technologies Orange Business Services All these companies carefully recruit business analysts based on skills and experience and ultimately offer the most suitable business analyst salary Pune. The business analyst salary Hyderabad depends on many factors and one of them is the type of employer. List of companies that provide outstanding business analyst salary Hyderabad: Zensar Technologies Clarity Consulting Uber Tech Mahindra Orange Business Services The business analyst salary Chennai significantly relies on the employer profile. List of employers providing excellent business analyst salary Chennai: Ikya Human Capital Solutions Pvt Ltd Zensar Technologies Orange Business Services Tech Mahindra When it comes to business analysts’ remuneration based on location, you must consider business analyst salary Delhi. Here is the list of companies renowned for offering superb business analyst salary Delhi: Top companies for Business Analysts in Delhi Amazon.com Zensar Technologies HCL Technologies Tech Mahindra Orange Business Services Being one of the megacities, the business analyst salary Mumbai must be considered. Names of a few of the prominent companies that provide outstanding business analyst salary Mumbai: Ikya Human Capital Solutions Pvt Ltd 2COMS Consulting Pvt Ltd TrueTech Solutions Zensar Technologies The Intersection of Business Analysis and Agile Methodology Agile methodology has revolutionized project management by emphasizing flexibility, collaboration, and incremental development. This approach aligns well with the responsibilities of business analysts.  Agile encourages continuous communication and collaboration between cross-functional teams, which mirrors the business analyst’s role as a stakeholder liaison. Business analysts often play a crucial role in agile projects by translating high-level business objectives into actionable tasks, facilitating user stories, and ensuring that the developed solutions meet the evolving needs of the business. Their ability to quickly adapt to changing requirements and provide valuable feedback makes them integral to the success of agile projects.  This integration of business analysis and agile methodology improves project outcomes and highlights the versatility and importance of business analysts in modern project environments. Business Analyst Salary Based on Skills Your skills as a business analyst can vary based on the industry and domain. However, possessing a range of skills yields a good business analytics salary of fresher business analyst salary in India.  Here is a table representing the average business analytics salary in India for people with different skill sets. The amount will vary depending on your region and expertise, but this is the base average compensation for these job roles.  Skills of a Business Analyst Average Salary Per Year Requirement Analysis INR 6,59,932 Microsoft Excel Expert INR 5,57,736 Business Analysis INR 6,31,572 Project Management INR 5,93,715 SQL INR 6,47,341 As you can see, the salary of a business analyst in India will rise in direct proportion to the number of talents you learn. For this reason, it is crucial to improve your IT skills.  Moreover, remember that a fresher business analyst’s salary in India increases progressively as they gain more experience and upgrade their skill sets.  Acquiring skills can boost your career and earn a better business analytics salary. With a skill like functional or application design, you can earn up to a 97% boost in your salary. Similarly, telecommunication, data modeling, and machine learning can boost your salary up to 93%, 56%, and 47%, respectively. While upskilling, you can look for an MBA degree too. The MBA data analytics salary is high, and the MBA degree offers multiple opportunities. Business Analyst Salary in India: Based on Department While discussing how much business analyst earn in India, a key factor to consider is the department in which they are working. Some departments offer higher salaries than others.  A business analyst working in the data science and analytics department earns around INR 9,70,000 per year on average. The salary usually ranges from INR 3,00,000 to INR 15,50,000. A business analyst working in the software and QA department earns around INR 10,10,000 per year on average. The salaries range from INR 2,70,000 to INR 15,30,000 per year on average. A business analyst average salary in India working in the Marketing and communication department is around INR 9,00,000 per year. A business analyst working in the sales and business development department earns around INR 8,80,000 per year on average. Business Analyst Salary Based on Industry The industry you work in will also have an impact on your business analyst salary so it is essential for you to know business analyst job description salary beforehand. Here is a detailed summary of the annual salaries of salary of business analyst in India you might anticipate. Dependent on the sector you decide to work in.  Industry Average Salary Per Year Financial Services INR 8,10,000 Hardware and Networking INR 7,30,000 IT Consulting and Services INR 7,00,000 Internet INR 8,40,000 Manufacturing INR 7,00,000 Explore our Business Analytics Programs from World's Top Universities Business Analytics Certification Programme Busines Analytics EPGP - LIBA Professional Certificate Program in Data Science and Business Analytics Master of Science in Business Analytics Global Master Certificate in Business Analytics Busines Analytics Certification - upGrad The business analyst salary in India while working in the finance industry ranges from INR 2,90,000 to INR 17,30,000 per year. In the hardware and networking industry, a business analyst earns from INR 3,00,000 to INR 17,00,000 per year. The salary for a business analyst working in IT and consultancy services ranges from INR 3,00,000 to INR 15,00,000 per year.  In the internet industry, a business analyst earns a salary of INR 3,90,000 to INR 18,00,000 per year. Similarly, the average salary of business analyst in India in the manufacturing industry ranges from INR 3,00,000 to INR 17,40,000 per year. Business Analyst Salary in India: Based on Company Type A business analyst’s salary depends on multiple factors. One of them is the type of company they are working in. In this section, we will discuss how the salary of a business analyst changes depending on various company types. Startup A startup company is in its first stage of operations. Usually, startups focus on providing some product or service in demand. Since it is in its first days, the salary here may not be very high. The business analyst average salary in India is around INR 10,20,000 per year. The salaries range from INR 3,80,000 to INR 18,00,000 per year. Conglomerate A conglomerate is a corporation of multiple companies. Many times, these companies are entirely unrelated. The only connection between them is a larger company with the major stakes in these smaller ones.  A business analyst working in a conglomerate earns around INR 10,50,000 per year on average. The salaries range from INR 3,50,000 to INR 17,50,000 per year. MNC An MNC or Multinational company is a company with at least one branch outside the home country. This type of company has offices, factories, and other facilities in various countries. These are also known as Transnational companies. A business analytics salary while working in an MNC is around INR 15,50,000 per year. The salaries range from INR 4,10,000 to INR 21,00,000 per year. Public Company A public or publicly traded company is a company whose ownership is distributed among the shareholders. This type of company must reveal all information regarding its finances and businesses to its shareholders from time to time. A business analyst working in a public company earns around INR 9,90,000 per year on average. The salaries range from INR 3,00,000 to INR 16,00,000 per year. Government A government company is one where at least fifty-one percent (51%) share is owned by the central government or a state government or jointly by the central government and one or more state government(s). The average salary of business analyst in India while working in a government company is around INR 10,00,000 per year. The salaries range from INR 1,20,000 to INR 16,00,000 per year. Demand for Business Analysts in India: The business analyst demand in India is high for skilled candidates who can manage their data and predict market opportunities. Generally, small-scale and mid-size companies in India recruit business analysts to make better monetary decisions and optimize cost. So, they provide a deserving business analyst salary who can adopt many roles, including budget management and resource allocation. You can gauge the accelerating business analyst demand in India from the fact that there are many leading firms hiring business analysts in India. These firms are Accenture, Tata Consultancy Services, Amazon, Flipkart, Deloitte, Ernst & Young, etc. Based on surveys carried out by LinkedIn, the average salary of a business analyst annually in India is approx. INR 13.5 lakh with salaries varying from INR 5.3 lakh to 22.1 lakh. India perceives the use of cutting-edge technologies for streamlining business processes. Several firms in India use technologies like machine learning, data analysis, deep learning, artificial intelligence, etc. Moreover, business analysts use data analysis tools to have better forecasts and this is one of the reasons for the extensive business analyst scope in India. The Covid-19 attack has caused a lot of market interruption in India and worldwide. Many firms are finding it difficult to survive and gradually comprehend the requirement for skilled business analysts to predict risks and opportunities. India is a developing country and many businesses are transitioning. The demand for business analysts is accelerating due to the need for data management and forecasting abilities. In addition to analytical jobs, business analysts can do various tasks. They can work as project coordinators, mediators, etc., whenever required. India’s dearth of skilled business analysts has opened doors to diverse job roles. Key Skills Required for Business Analysts: If you are planning to become a business analyst in India, these are the keys skills you must know: 1. Technical Skills: Learning certain key technical skills can promise a decent entry level business analyst salary. Business analysts must know SQL (Structured Query Language), Microsoft Office, Microsoft Visio, etc. In addition, freshers can have a well-paying business analyst entry level salary if they are fluent in software designing and business model designing tools. They also need to collaborate with the IT team and share business objectives with them. 2. Financial Planning Skills: Business analysts must ascertain that all the resources are assigned within the organization’s financial budget. They should also learn how to assist clients in having better commercial decisions. 3. Analytical Skills: They must be well-versed in data analysis and statistics. Usually, they are tasked with managing big data to discern key insights. Moreover, they must have forecasting skills to accelerate their career graph. Employers prioritise analytical skills, which are a must for senior business analyst salary in India. Read our Other Articles Related to Business Analytics What is Business Analytics? Career, Salary & Job Roles Top 7 Career Options in Business Analytics Business Analytics Free Online Course with Certification Business Analytics Vs Data Analytics: Difference Between Business Analytics and Data Analytics Top 7 Best Business Analytics Tools Recommended for every Business Analyst Top 11 Industry Applications of Business Analytics Future Scope of Business Analytics Business Analytics Eligibility or Requirement 8 Business Analytics Tips: Which Helps to Run Business Successfully 4. Problem-Solving Skills: They must possess interpretation skills to understand the risks. One of their major responsibilities is risk identification and management. 5. Communication skills: They must effectively convey stakeholders’ expectations to the employees. Moreover, they need to conduct meetings and brainstorming sessions regularly. So, communication skills are vital. Ways to Improve Business Analyst Salary While the average salary of business analyst in India is high, there are always some opportunities and ways to improve the salary further. Remember to grab any opportunity coming your way. As a business analyst, you are in a situation where you need to upgrade yourself constantly to remain relevant and also have a chance to acquire a better salary package. Here are a few ways to improve your salary further. Improve Your Skills The first thing you can try is to improve the skills you possess. For a business analyst, Microsoft Office (especially Microsoft Excel), SQL (Structured Query Language), BI Tools, Tableau, and Microsoft Visio are among the top skills you can improve. In addition, you can also try to enhance your soft skills, such as leadership, management, and communication. You can also learn trending business analysis methodologies like Agile Business Analysis. Opt for a Certification Being certified with one of the top business analytics certifications not only broadens your knowledge, but also helps you acquire a better salary package. Cloud certifications provide some of the highest salary increases for a business analyst. Here are some of the most trending business analytics certifications – IIBA Agile Analytics Certification IIBA Certified Business Analysis Professional Certified Analytics Professional IIBA Certification of Competency in Business Analysis IIBA Entry Certificate in Business Analysis Acquire a Degree Achieving an undergraduate or postgraduate degree enhances your opportunity to acquire a better salary package. Achieving an MBA is a good option since the MBA business analytics salary is high. Many employers expect and encourage their employees to obtain such a degree. A specialization can often become the push that your career requires.  Here are the most popular specializations- Bachelors/ Masters/Ph.D. in Data Science Masters in Business Administration (MBA) Diploma in Data Analytics Masters in Data Science and Business Analytics While these certifications can propel your career ahead, the short-term goal you achieve may not be huge. But do not let that hinder your progress.  Earn Some Experience There is no better way to earn a better salary package than by gathering real-world experience. In the previous sections of this article, we have seen how a senior business analyst salary is a lot more than entry-level ones. If you have the patience, try to gather as much experience as possible. You can opt for the role of a supervisor. There, you can earn more experience by supervising junior analysts.  Find a Better Opportunity If you are fresher, look for a job opportunity where a fresher is preferred over an experienced one. Yes, that also happens at times. Some tech companies prefer freshers for some particular job positions.  Although the business analyst salary for freshers is not that large, you will start gathering experience, which will help in acquiring a better salary package. The Future of Business Analysis: Emerging Trends and Opportunities  As technology continues to advance and business environments evolve, the field of business analysis is poised for further transformation. Several emerging trends are shaping the future of business analysis: Advanced Analytics and Predictive Modeling Business analysts increasingly use advanced analytics techniques to predict trends, forecast outcomes, and drive proactive decision-making. AI-Powered Automation The integration of artificial intelligence in business processes is changing how analysts gather and interpret data, enabling faster and more accurate insights. Using AI tools and machine learning algorithms, business analysts can analyze a more complex database within a short period.  Blockchain and Data Security With the growing importance of data security and transparency, business analysts are exploring how blockchain technology can enhance data integrity and streamline processes. Customer-Centric Analysis Business analysts focus on understanding customer behavior and preferences to guide product and service development. With time, the customers have become more demanding, and the customer requirements have changed drastically. Business analysts can help an organization to understand these changes better. Business Intelligence Business Intelligence is also something in-demand. The Business Intelligence Analysts interpret complex data and recommend various steps for business growth and improvement. Business intelligence analyst salary in India are high. As these trends gain momentum, business analysts must stay adaptable, continuously update their skill sets, and embrace technological innovations to remain valuable organizational contributors. To conclude, Business Analysts have a decent pay scale in India. Companies across both IT and e-commerce sectors pay excellent compensation to deserving candidates who can add value to their organization. Apart from the regular educational qualifications and work experience, having advanced Business Analysis certifications also helps in bagging jobs that offer high-level salaries. If you are keen on upgrading your career with an Executive MBA course, upGrad is offering MBA from Liverpool Business School. The program has been designed to stand at par with the best on-campus Executive MBA programs across the globe. Learn Business Analytics Courses online from the World’s top Universities. Earn Masters, Executive PGP, or Advanced Certificate Programs to fast-track your career.

by upGrad

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04 Mar 2024

8 Exciting Full Stack Coding Project Ideas & Topics For Beginners
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8 Exciting Full Stack Coding Project Ideas & Topics For Beginners

A Full stack developer is an engineer who can design and develop an end-to-end application independently by handling all the work of coding, databases, servers and platforms. Full stack projects can be further classified as web stack, mobile stack or native application stack depending on the solution stack being used.  As more and more companies are looking to hire full stack developers in India, “Full-stack developer” is a title that every other coding/development engineer wants to update in their LinkedIn and Facebook. Being a full stack developer, you will need to know all of the technologies that are required to build an application from scratch. To become full stack developers, most engineers want to expand their skills horizontally. But unless the skills are known in-depth, the claim will remain a hollow title. If you are upgrading your skills to become a full stack developer, be sure to learn all the technologies in its full depth of understanding. Doing hands-on projects can help you gain in-depth knowledge. Also, Check out our free courses In this article, we will discuss 8 full stack coding project ideas you can try out. You should choose different languages, databases and frameworks for different projects. You may choose technology combinations from the examples below Front-end languages: HTML, CSS, Javascript etc Front-end frameworks: AngularJS, React.js, Bootstrap, jQuery, SASS, Foundation, Semantic-UI, Materialize, Express.js, Backbone.js, Ember.js etc. Back-end: PHP, C++, Java, Python, JavaScript, Node.js Back-end frameworks: Django, Express, Laravel, Rails, Spring etc Database: Oracle, MongoDB, MySQL Check out upGrad’s Java Bootcamp Learn to build applications like Swiggy, Quora, IMDB and more 8 Full Stack Coding Project Ideas & Topics 1) Content Management System for a blog WordPress and Drupal would be the best examples of full stack web app development project ideas for students. Using the CMS users must be able to design a web page using the drag and drop method. Users should be able to add textual or media content into placeholders that are attached to locations on the web page using drag and drop method. This way, users should be able to design the whole website. Users must also get an option to publish blog posts. For this, you need to have a text editor component that accepts user input text and converts it into HTML and push into a database. The website must be published over HTTP and HTTPS protocols such that the blog posts are served from the database and displayed to the visitors in the page template designed by the blog owner.  Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses 2) Multi-client website offering client services Here merchants are your primary customers. Merchants must be able to sign up at the site and create a page for themselves that display a list of their services and the pricing. The users who are customers to your customers should be able to sign up as users and purchase goods or services from the merchants. There should be a standard checkout process throughout which is integrated into a payment gateway system.  Enroll in Software Engineering Courses from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career. The site could offer different categories of services, like home, beauty, pet, etc. Merchants can select their category when signing up. Customers can browse and search for merchants by category. Merchants can customize their pages with images, descriptions, availability, and other service details. The checkout process should securely collect customer and payment information. Integrating a payment gateway allows for secure credit card processing. Email receipts can be sent to the customer and merchant after purchase. Merchants should have a dashboard to view orders and manage their accounts. Customers can leave reviews and ratings for merchants. Additional features could include appointment scheduling, notifications, customer accounts and order history. The multi-tenant structure allows easy scaling as more merchants and customers join the platform. Robust admin tools help manage users, categories, disputes, and platform growth over time. The core functionality connects service providers to customers in a seamless online marketplace. 3) e-commerce website for automotive parts Under this project, you can develop a standard e-commerce website that displays products to be sold. Users should be able to select the products they want to buy and add them to cart. Users must then be able to make payments via a secure payment gateway. The site would focus on selling automotive parts and accessories, like brake pads, batteries, tires, engine parts, lights, electronics, tools, and more. Customers can browse parts by make/model or general categories. Product information includes specifications, images, reviews, related/alternate parts, and availability. An intelligent search helps customers find the right parts. The shopping cart saves selected items persistently across sessions until checkout. Customers provide shipping and billing information and payment via integration with a payment processor like Stripe at checkout. Order confirmation emails provide order details and tracking info. Customers have an account to view order history. The admin interface enables product and inventory management, order processing, customer service, marketing, and sales reporting. New arrivals and promotions incentivize repeat purchases. SEO, ads, and affiliate programs expand reach. Integrations with parts suppliers, drop shippers, and logistics services enable rapid scaling while minimizing overhead. 4) Food delivery application This application should be able to form a bridge between restaurants and consumers. Restaurants owners must be able to sign up and list out their food items along with the price. Users must be able to sign up, view the restaurants nearby and order food items from selected restaurants. Restaurants should accept the order and assign a delivery person to the order. The location of the delivery person and the dynamic ETA of delivery must be displayed to the user who ordered food. The cart and payment page must be unique across the full application.  upGrad’s Exclusive Software and Tech Webinar for you – SAAS Business – What is So Different? document.createElement('video'); https://cdn.upgrad.com/blog/mausmi-ambastha.mp4 Additional features could include parts recommendation engines, vehicle fitment lookup, custom packaging, loyalty programs, and auto-replenishment. The focus is on providing automotive parts buyers with an intuitive, tailored e-commerce experience. The app can include cuisine browsing, personalized recommendations, ratings/reviews, and dish photos. Restaurants manage menus, availability, pricing, and order processing through a dashboard. Customers can save delivery addresses, payment methods, and favourite/recent orders. Once an order is placed, the restaurant receives the order with customer details. The restaurant confirms the order receipt and prep time. When ready, a delivery driver is assigned for pickup. Integrate with mapping APIs to track driver location and optimize routes. Push notifications update customers on order status. The delivery driver can mark orders picked up and dropped off within the app. Customers pay online or via cash. Ratings help restaurants and drivers improve service. Analytics provide insights on dishes, customers, and geography to inform marketing and operations. 5) Grocery delivery application Assume this project is for a huge online departmental store. Assume that they have a myriad of grocery items at their godown. All items must be listed on the website, along with their quantities and prices. Users must be able to sign up and purchase groceries. The system should present him with delivery slot options, and the user must be able to choose his preferred slot. Users must then be taken to the payment page where he makes the payment with his favourite method.  In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses Additional features could include parts recommendation engines, vehicle fitment lookup, custom packaging, loyalty programs, and auto-replenishment. The focus is on providing automotive parts buyers with an intuitive, tailored e-commerce experience. The app can include cuisine browsing, personalized recommendations, ratings/reviews, and dish photos. Restaurants manage menus, availability, pricing, and order processing through a dashboard. Customers can save delivery addresses, payment methods, and favourite/recent orders. Once an order is placed, the restaurant receives the order with customer details. The restaurant confirms the order receipt and prep time. When ready, a delivery driver is assigned for pickup. Integrate with mapping APIs to track driver location and optimize routes. Push notifications update customers on order status. The delivery driver can mark orders picked up and dropped off within the app. Customers pay online or via cash. Ratings help restaurants and drivers improve service. Analytics provide insights on dishes, customers, and geography to inform marketing and operations. 6) e-commerce portal for used furniture sales Another big example of full stack web app development project ideas for students is creating an e-commerce portal. Assume this project is for a startup that is acquiring used furniture from users at a price, refurbishing them and selling them off at a margin. The website must display second-hand furniture that is currently being sold. Users must be able to sign up on the site and set up their profile. Users must be able to search for their required products and checkout to the payment page. Once payment is successful, the expected time of product arrival must be communicated to the user via email as well as displayed on the order page. Users must also be able to sell used furniture to the company. Users must be able to upload pictures of the items they intend to sell. Based on the images, company admins must be able to decide whether to buy or not. Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript Check out upGrad’s Full Stack Development Bootcamp 7) Web portal for motor servicing at home This project is going to be for an automotive workshop that is intending to deliver doorstep service. The workshop must be able to display their services and cost on the website. Users must be able to register and login to cart the required services. Users must then be able to confirm the service time slot and complete the checkout process. The mern project ideas site or mern stack project ideas lists the workshop’s offerings, such as oil changes, tire rotations, brake jobs, inspections, engine work, detailing, and more. Customers input their vehicle info to see applicable services and pricing. A shopping cart saves selected services, and a calendar displays available 2-hour appointment windows for at-home service. After selecting a time slot, customers enter payment and vehicle/location details. The workshop receives the service order and confirms via email and text. Customers are notified when the technician is en route with an ETA based on traffic. The technician can access service orders on a mobile app. Required parts and tools are loaded onto the vehicle beforehand. Customers pay any balance due upon completion. Email receipts summarize services rendered and parts replaced. The workshop manager assigns technicians and monitors schedules via a dashboard. Customer satisfaction ratings enable continual improvement of technicians and services. Marketing tools help acquire new customers in targeted geographies. Additional features could include: On-demand emergency roadside assistance. Fleet servicing. Maintenance reminder alerts for customers. Integration with spare parts inventory. The focus is on providing maximum convenience and transparency for at-home auto service. 8) Project Management application This is going to be the toughest of all with a lot of features. The should have a framework of a basic social media site with users being able to communicate with each other. Users should be able to create projects and tasks within projects. Users must be able to assign tasks to other users and must be able to comment on it just like on a social media post. To start with, each user can have a calendar view and a kanban style board. Users must be able to close and archive tasks as well as projects when completed. Read our Popular Articles related to Software Development Why Learn to Code? How Learn to Code? How to Install Specific Version of NPM Package? Types of Inheritance in C++ What Should You Know? Adding one more easy and hassle-free idea to this list of full stack project ideas for resume. 9) To-do list project A to-do list app is a fundamental and straightforward project with a use case in daily life. One of the most common full-stack projects for beginners is a to-do list. Like Microsoft’s to-do list application, you can create a to-do list. When a task is finished, the feature to remove it from the list must also be available. Your front-end development skills will improve due to working on this project. You’ll gain valuable experience using the CRUD operations on databases by storing items in the directory and erasing them from it. You can also implement user login and authentication using the to-do list app. Below is a link to a sample source code for a to-do list website. You are welcome to draw ideas from it and create an amazing to-do list using your own talents and creativity. Advanced full stack project ideas for resume While working on full stack web app ideas for beginners will strengthen your base, practising on full stack web development project ideas for students in final year will further enable your skills to shine brighter. Here are a few other full stack application examples and ideas to build your portfolio. 10) Blog Website and App One of the best advanced full stack project ideas for your resume is to create a website. Users can post their opinions on a variety of topics on a blog website. You can be as imaginative as you like. There are a huge number of blog websites. Any of these blog websites can serve as inspiration for your own. People must use their login credentials to access this site, and proper authentication will also be performed. The user can then publish their blogs for viewing by the public, and they should be saved in the database, so they stay there. The ability to edit a blog post after it has been published and delete it entirely from the post would be the icing on the cake. 11) Portfolio Website In the modern world, portfolio websites are a trendy concept. Developers create some amazing portfolio websites to impress clients and showcase their abilities. Making a portfolio website is a great practice, especially for front-end work, and there are no restrictions for students or even professionals having to learn web development. You can be as imaginative as you like. These full stack web development project ideas for students will allow them to not only present their own portfolio but flaunt their practical implementation, too, with a smooth interface. A developer portfolio site is a chance to highlight your best work and skills in a live setting. The homepage can include a bio, skills overview, and featured projects. Each project can have its page detailing the problem, technologies used, images, and results. Blog posts help demonstrate communication abilities along with full stack projects with source code. The site design itself acts as a showcase of front-end abilities with HTML, CSS, and JavaScript be it java full stack projects. A custom design system, animations, interactions, and responsive layout strengthen the presentation. The backend can utilize frameworks like Node, Django, or Ruby on Rails to serve content. Portfolios of full stack projects for final year students provide insights into coding style through tidy, commented code on GitHub. Integrations with services like LinkedIn and Twitter expand reach. Analytics provide data on visitor demographics, engagement, and conversions. The site can be continuously improved over time as new projects are completed. Version control makes iterating easy. Automated testing and performance monitoring ensure a smooth experience. Dynamic content allows customization for different audiences. The result is an ever-evolving representation of a developer’s skills, abilities, and growth. A portfolio site empowers you to put your best work on display for career opportunities or freelance clients. 12) Food delivery app/website Who is not a fan of food? After a long day of work, everyone wants to indulge in a delicious meal. As a result, many websites and apps, including Uber-eats, Swiggy, and Zomato in India, have become well-known and built profitable businesses around this concept. Therefore, a popular and relatively new idea for a full-stack project is a food application or website. Such full stack web development projects, if implemented successfully, can significantly gain popularity among the audience.  A food ordering and delivery platform connects customers, restaurants, and drivers for seamless meals on demand. Customers can browse local restaurants, menus, reviews, photos, and deals. A persistent cart allows ordering from multiple places in one checkout. Restaurants manage dynamic menus, availability, pricing, and order management via a dashboard. The order is assigned to a driver for pickup and delivery based on location and volume. Integrations with mapping and payment APIs enable optimized routes, ETAs, and cashless transactions. Customers can save delivery addresses and payment methods for faster repeat orders. Rating systems help restaurants and drivers improve service quality. Customer support tools facilitate refunds, cancellations, and issue resolution. Marketing features like promotions and partnerships drive acquisition. Backend databases maintain the menu, customer, restaurant, driver, and order data. Machine learning algorithms optimize driver dispatch and delivery times over time. Granular analytics provide insights to improve operations and marketing. The result is a scalable platform connecting hungry customers with their favourite local eateries via speedy delivery. Features like group ordering, self-service kiosks, and loyalty programs provide further engagement. 13) Website or app for e-commerce Because it is a very well-known project, you can find an e-commerce website or app in almost every full-stack developer’s portfolio. This project is huge and calls for a great deal of database, front-end, and back-end expertise. It requires a lot of effort and time to complete and is considered a major project. Either create your own e-commerce website or app or attempt to copy an already successful, widely used app or website, such as Amazon, Flipkart, etc. Make sure to brainstorm diverse full stack web app ideas for e-commerce platforms.  14) Video Conferencing App/Website Try to work on the most in-demand full stack web development projects to keep up with the changing demands of the time, and what’s better than the most popular video conferencing applications! The websites and apps for video conferencing are also excellent full-stack projects to get your hands on. Video conferencing tools like Zoom, Google-Meet, Microsoft Teams, and others have become indispensable in our lives since the global pandemic hit. A video conferencing app may have features like audio-video chat, text chat, video recording and storage for later use, call recording and chat storage, a whiteboard for drawing and explanations, and more. In this project, there is a lot to integrate and discover. 15) Social Media App/Website Another full stack application example is a social media app. In today’s world, social networking is all that is around us. We use numerous social media platforms on a daily basis, including Instagram, Facebook, Snapchat, and others. Making your own social media application is a fantastic full-stack project. A social media site or app is different from a chat app. An image, video, or text can be posted here for others to like, dislike, comment on, and share. It is comparable to creating a social network. This project is excellent for practising both front-end and back-end code (along with the database). The platform lets users sign up for accounts, create profiles, and connect as friends. The news feed shows posts from friends in chronological order. Users can create posts with text, images, videos, links, events, polls, etc. Likes, comments, shares, and reactions create engagement. Profiles, followers, tags, and discover features enable connections. Private messaging provides one-to-one and group chats. Push notifications alert users to new interactions. Moderation tools combat abuse. Analytical dashboards track growth, engagement, ads, and user demographics. APIs allow integration with other apps and embedding of social features. Additional capabilities could include live streaming, stories, influence scores, groups, events, marketplaces, and augmented reality. The focus is cultivating an active user community that provides entertainment, connection, and value at scale. 16) Content Management Tool or System for Blogs Another good example of advanced full stack project ideas for your resume is creating a CMS. A good example of a content management system is WordPress. The user can drag and drop the available items to build a web page. An uncommon project like that attests to your full-stack developer expertise. Users of a Content Management System (CMS) must be able to drag and drop elements to build their own web pages. The user should be able to add text and media content into placeholders attached to the web page by using these features. Therefore, users should be able to create websites and post blogs. A text editor that accepts user input converts it to HTML and pushes it to the database. 17) Project Management Tool The Project Management tool is the most difficult full-stack project and has many features. Examples include the Kissflow Project, Asana, and Trello. This project must have the structure of a fundamental social media platform with user-to-user communication. Users should be able to collaborate on project creation and create tasks inside of projects. The users should be able to allocate work to one another and comment on them, just like on social media. The tool allows teams to collaboratively plan projects, break down work into tasks, assign tasks, set due dates, track progress, and communicate. Robust permissions allow managers to restrict access as needed. Each project gets its dashboard for an overview and task management. Tasks can be categorized, tagged, prioritized, and assigned to team members. Due dates keep work on schedule. File attachments, comments, and activity feeds facilitate discussion of work. Integrations with calendars, email, and other tools sync across apps. Managers can view project health metrics and task completion status. Analytics provide insights into team productivity over time. Customizable workflows automate repetitive processes. API access enables integration with other systems. Additional features include time tracking, expense reporting, resource management, GANTT charts, budgeting, invoicing, and billing. The focus is on providing the features and flexibility to manage projects and tasks across any team, process, or enterprise. Custom branding and white-labeling make it easy to embed the tool across organizations. Conclusion Being a full stack developer is a tough job & that’s an important reason full stack developers get very good salary package. Its difficult but it’s achievable if you do the right amount of hard work. Execute these project ideas using different technologies and frameworks, and you will have hands-on experience in all underlying technologies. Make sure not to reuse the same language, database or framework over and over again on all projects. We hope you will have an excellent learning opportunity in executing these projects. If you are interested to learn more and need mentorship from industry experts, check out upGrad & IIIT Banglore’s PG Diploma in Full-Stack Software Development.

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19 Feb 2024

Top 9 Python Libraries for Machine Learning in 2024
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Top 9 Python Libraries for Machine Learning in 2024

Machine learning is the most algorithm-intense field in computer science. Gone are those days when people had to code all algorithms for machine learning. Thanks to Python and it’s libraries, modules, and frameworks. Python machine learning libraries have grown to become the most preferred language for machine learning algorithm implementations. Learning Python is essential to master data science and machine learning. Let’s have a look at the main Python libraries used for machine learning. Top Python Machine Learning Libraries 1) NumPy NumPy is a well known general-purpose array-processing package. An extensive collection of high complexity mathematical functions make NumPy powerful to process large multi-dimensional arrays and matrices. NumPy is very useful for handling linear algebra, Fourier transforms, and random numbers. Other libraries like TensorFlow uses NumPy at the backend for manipulating tensors. With NumPy, you can define arbitrary data types and easily integrate with most databases. NumPy can also serve as an efficient multi-dimensional container for any generic data that is in any datatype. The key features of NumPy include powerful N-dimensional array object, broadcasting functions, and out-of-box tools to integrate C/C++ and Fortran code. Its key features are as below: Supports n-dimensional arrays to enable vectorization, indexing, and broadcasting operations. Supports Fourier transforms mathematical functions, linear algebra methods, and random number generators. Implementable on different computing platforms, including distributed and GPU computing. Easy-to-use high-level syntax with the optimized Python code to provide high speed and flexibility. In addition to that, NumPy enables the numerical operations of plenty of libraries associated with data science, data visualization, image processing, quantum computing, signal processing, geographic processing, bioinformatics, etc. So, it is one of the versatile machine learning libraries. 2) SciPy With machine learning growing at supersonic speed, many Python developers were creating python libraries for machine learning, especially for scientific and analytical computing. Travis Oliphant, Eric Jones, and Pearu Peterson in 2001 decided to merge most of these bits and pieces codes and standardize it. The resulting library was then named as SciPy library.  The current development of the SciPy library is supported and sponsored by an open community of developers and distributed under the free BSD license. The SciPy library offers modules for linear algebra, image optimization, integration interpolation, special functions, Fast Fourier transform, signal and image processing, Ordinary Differential Equation (ODE) solving, and other computational tasks in science and analytics. The underlying data structure used by SciPy is a multi-dimensional array provided by the NumPy module. SciPy depends on NumPy for the array manipulation subroutines. The SciPy library was built to work with NumPy arrays along with providing user-friendly and efficient numerical functions. FYI: Free nlp course! One of the unique features of SciPy is that its functions are useful in maths and other sciences. Some of its extensively used functions are optimization functions, statistical functions, and signal processing. It supports functions for finding the numerical solute to integrals. So you can solve differential equations and optimization. The following areas of SciPy’s applications make it one of the popular machine learning libraries. Multidimensional image processing Solves Fourier transforms, and differential equations Its optimized algorithms help you to efficiently and reliably perform linear algebra calculations 3) Scikit-learn In 2007, David Cournapeau developed the Scikit-learn library as part of the Google Summer of Code project. In 2010 INRIA involved and did the public release in January 2010. Skikit-learn was built on top of two Python libraries – NumPy and SciPy and has become the most popular Python machine learning library for developing machine learning algorithms.   Scikit-learn has a wide range of supervised and unsupervised learning algorithms that works on a consistent interface in Python. The library can also be used for data-mining and data analysis. The main machine learning functions that the Scikit-learn library can handle are classification, regression, clustering, dimensionality reduction, model selection, and preprocessing. Many ML enthusiasts and data scientists use scikit-learn in their AI journey. Essentially, it is an all-inclusive machine learning framework. Occasionally, many people overlook it because of the prevalence of more cutting-edge Python libraries and frameworks. However, it is still a powerful library and efficiently solves complex Machine Learning tasks. The following features of scikit-learn make it one of the best machine learning libraries in Python: Easy to use for precise predictive data analysis Simplifies solving complex ML problems like classification, preprocessing, clustering, regression, model selection, and dimensionality reduction Plenty of inbuilt machine learning algorithms Helps build a fundamental to advanced level ML model Developed on top of prevalent libraries like SciPy, NumPy, and Matplotlib Our learners also read – python online course free! 4) Theano Theano is a python machine learning library that can act as an optimizing compiler for evaluating and manipulating mathematical expressions and matrix calculations. Built on NumPy, Theano exhibits a tight integration with NumPy and has a very similar interface. Theano can work on Graphics Processing Unit (GPU) and CPU. Working on GPU architecture yields faster results. Theano can perform data-intensive computations up to 140x faster on GPU than on a CPU. Theano can automatically avoid errors and bugs when dealing with logarithmic and exponential functions. Theano has built-in tools for unit-testing and validation, thereby avoiding bugs and problems.  Theano’s fast speeds give a competitive edge to C projects for problem-solving tasks that involve huge amounts of data. It makes most GPUs perform better than C language on a CPU. It efficiently accepts structures and transforms them into extremely efficient code which uses NumPy and a few native libraries. Primarily, it is designed to deal with various computations demanded by huge neural network algorithms utilized in Deep Learning. Therefore, it is one of the popular machine learning libraries in Python, as well as deep learning. Here are some prominent benefits of using Theano: Stability Optimization: It can determine some unsteady expressions and can use steadier expressions to solve them 2. Execution Speed Optimization: It uses the latest GPUs and implements parts of expressions in your GPU or CPU. So, it is faster than Python.    3. Symbolic Differentiation: It automatically creates symbolic graphs for computing gradients. Also, Check out all Trending Python Tutorial Concepts in 2024. 5) TensorFlow TensorFlow was developed for Google’s internal use by the Google Brain team. Its first release came in November 2015 under Apache License 2.0. TensorFlow is a popular computational framework for creating machine learning models. TensorFlow supports a variety of different toolkits for constructing models at varying levels of abstraction. TensorFlow exposes a very stable Python and C++ APIs. It can expose, backward compatible APIs for other languages too, but they might be unstable. TensorFlow has a flexible architecture with which it can run on a variety of computational platforms CPUs, GPUs, and TPUs. TPU stands for Tensor processing unit, a hardware chip built around TensorFlow for machine learning and artificial intelligence. TensorFlow empowers some of the largest contemporary AI models globally. Alternatively, it is recognized as an end-to-end Deep Learning and Machine Learning library to solve practical challenges. The following key features of TensorFlow make it one of the best machine learning libraries Python: Comprehensive control on developing a machine learning model and robust neural network Deploy models on cloud, web, mobile, or edge devices through TFX, TensorFlow.js, and TensorFlow Lite Supports abundant extensions and libraries for solving complex problems Supports different tools for integration of Responsible AI and ML solutions 6) Keras Keras has over 200,000 users as of November 2017. Keras is an open-source library used for neural networks and machine learning. Keras can run on top of TensorFlow, Theano, Microsoft Cognitive Toolkit, R, or PlaidML. Keras also can run efficiently on CPU and GPU.  Keras works with neural-network building blocks like layers, objectives, activation functions, and optimizers. Keras also have a bunch of features to work on images and text images that comes handy when writing Deep Neural Network code. Apart from the standard neural network, Keras supports convolutional and recurrent neural networks.  It was released in 2015 and by now, it is a cutting-edge open-source Python deep learning framework and API. It is identical to Tensorflow in several aspects. But it is designed with a human-based approach to make DL and ML accessible and easy for everybody. You can conclude that Keras is one of the versatile machine learning libraries Python because it includes: Everything that TensorFlow provides but presents in easy to understand format. Quickly runs various DL iterations with full deployment proficiencies. Support large TPUs and GPU clusters which facilitate commercial Python machine learning. It is used in various applications, including natural language processing, computer vision, reinforcement learning, and generative deep learning. So, it is useful for graph, structured, audio, and time series data. Best Machine Learning and AI Courses Online Master of Science in Machine Learning & AI from LJMU Executive Post Graduate Programme in Machine Learning & AI from IIITB Advanced Certificate Programme in Machine Learning & NLP from IIITB Advanced Certificate Programme in Machine Learning & Deep Learning from IIITB Executive Post Graduate Program in Data Science & Machine Learning from University of Maryland To Explore all our courses, visit our page below. Machine Learning Courses 7) PyTorch PyTorch has a range of tools and libraries that support computer vision, machine learning, and natural language processing. The PyTorch library is open-source and is based on the Torch library. The most significant advantage of PyTorch library is it’s ease of learning and using. PyTorch can smoothly integrate with the python data science stack, including NumPy. You will hardly make out a difference between NumPy and PyTorch. PyTorch also allows developers to perform computations on Tensors. PyTorch has a robust framework to build computational graphs on the go and even change them in runtime. Other advantages of PyTorch include multi GPU support, simplified preprocessors, and custom data loaders.  Facebook released PyTorch as a powerful competitor of TensorFlow in 2016. It has now attained huge popularity among deep learning and machine learning researchers. Various aspects of PyTorch suggest that it is one of the outstanding Python libraries for machine learning. Here are some of its key capabilities. Fully support the development of customized deep neural networks Production-ready with TorchServe Supports distributed computing through the torch.distributed backend Supports various extensions and tools to solve complex problems Compatible on all leading cloud platforms for extensible deployment Also supported on GitHub as an open-source Python framework 8) Pandas Pandas are turning up to be the most popular Python library that is used for data analysis with support for fast, flexible, and expressive data structures designed to work on both “relational” or “labeled” data. Pandas today is an inevitable library for solving practical, real-world data analysis in Python. Pandas is highly stable, providing highly optimized performance. The backend code is purely written in C or Python.  The two main types of data structures used by pandas are : Series (1-dimensional) DataFrame (2-dimensional) These two put together can handle a vast majority of data requirements and use cases from most sectors like science, statistics, social, finance, and of course, analytics and other areas of engineering.  Pandas support and perform well with different kinds of data including the below : Tabular data with columns of heterogeneous data. For instance, consider the data coming from the SQL table or Excel spreadsheet. Ordered and unordered time series data. The frequency of time series need not be fixed, unlike other libraries and tools. Pandas is exceptionally robust in handling uneven time-series data Arbitrary matrix data with the homogeneous or heterogeneous type of data in the rows and columns Any other form of statistical or observational data sets. The data need not be labeled at all. Pandas data structure can process it even without labeling.  It was launched as an open-source Python library in 2009. Currently, it has become one of the favourite Python libraries for machine learning among many ML enthusiasts. The reason is it offers some robust techniques for data analysis and data manipulation. This library is extensively used in academia. Moreover, it supports different commercial domains like business and web analytics, economics, statistics, neuroscience, finance, advertising, etc. It also works as a foundational library for many advanced Python libraries. Here are some of its key features: Handles missing data Handles time series data Supports indexing, slicing, reshaping, subsetting, joining, and merging of large datasets Offers optimized code for Python using C and Cython Powerful DataFrame object for broad data manipulation support In-demand Machine Learning Skills Artificial Intelligence Courses Tableau Courses NLP Courses Deep Learning Courses 9) Matplotlib Matplotlib is a data visualization library that is used for 2D plotting to produce publication-quality image plots and figures in a variety of formats. The library helps to generate histograms, plots, error charts, scatter plots, bar charts with just a few lines of code. It provides a MATLAB-like interface and is exceptionally user-friendly. It works by using standard GUI toolkits like GTK+, wxPython, Tkinter, or Qt to provide an object-oriented API that helps programmers to embed graphs and plots into their applications.  It is the oldest Python machine learning library. However, it is still not obsolete. It is one of the most innovative data visualization libraries for Python. So, the ML community admires it. The following features of the Matplotlib library make it a famous Python machine learning among the ML community: Its interactive charts and plots allow fascinating data storytelling Offers an extensive list of plots appropriate for a particular use case Charts and plots are customizable and exportable to various file formats Offers embeddable visualizations with different GUI applications Various Python frameworks and libraries extend Matplotlib Join the Machine Learning Course online from the World’s top Universities – Masters, Executive Post Graduate Programs, and Advanced Certificate Program in ML & AI to fast-track your career. Popular AI and ML Blogs & Free Courses IoT: History, Present & Future Machine Learning Tutorial: Learn ML What is Algorithm? Simple & Easy Robotics Engineer Salary in India : All Roles A Day in the Life of a Machine Learning Engineer: What do they do? What is IoT (Internet of Things) Permutation vs Combination: Difference between Permutation and Combination Top 7 Trends in Artificial Intelligence & Machine Learning Machine Learning with R: Everything You Need to Know AI & ML Free Courses Introduction to NLP Fundamentals of Deep Learning of Neural Networks Linear Regression: Step by Step Guide Artificial Intelligence in the Real World Introduction to Tableau Case Study using Python, SQL and Tableau Benefits Of Using Python For Data Science Python libraries for machine learning has emerged as a go-to language for data science, offering a multitude of benefits that cater to the needs of professionals and learners alike. Simplicity and Readability One of the key advantages of python libraries for machine learning in data science is its simplicity. The language is designed with readability in mind, resembling the English language closely. This characteristic makes it an excellent choice for beginners, ensuring that even someone at a 6th-grade level can grasp the basics swiftly. Extensive Libraries Python boasts an extensive collection of ML libraries that significantly expedite the data science workflow. Libraries such as NumPy for numerical operations, Pandas for data manipulation, and Matplotlib for data visualization provide ready-to-use functions, reducing the need for coding from scratch. This streamlines the entire data analysis process, making it more efficient. Versatility Python’s versatility is another standout feature. It can seamlessly integrate with other languages and technologies, allowing data scientists to leverage existing systems effortlessly. Whether it’s connecting to databases, working with web APIs, or incorporating machine learning models, ML libraries python adaptability enhances its utility in various data science applications. Community Support The robust machine learning tools python community contributes significantly to its appeal in data science. With a vast and active user base, developers and data scientists can easily find support, resources, and solutions to challenges they encounter. This collaborative environment fosters learning and growth, making ML libraries python an excellent choice for those entering the field. Data Visualization Effective communication of insights is crucial in data science, and Python excels in this aspect. ML libraries like Matplotlib, Seaborn, and Plotly enable users to create visually compelling graphs and charts. This not only aids in understanding complex data but also facilitates conveying findings to diverse audiences, making machine learning with python a powerful tool for data storytelling. Scalability As data science projects evolve, scalability becomes paramount. Python’s scalability is evident in its ability to handle both small-scale data analysis tasks and large-scale, enterprise-level projects. This adaptability ensures that Python remains a reliable choice as data science requirements grow and become more complex. Ease of Integration with Big Data Technologies In the era of big data, Python’s compatibility with major big data technologies, such as Apache Hadoop and Spark, is a significant advantage. Data scientists can seamlessly integrate python libraries into their big data workflows, allowing them to analyze and derive insights from massive datasets efficiently. Benefits of Learning Python for Non-Programmers Learning machine learning with python holds numerous benefits for non-programmers, offering a gateway into the world of coding without overwhelming complexities. Whether you’re a student, professional, or hobbyist, machine learning modules user-friendly nature and versatility make it an ideal starting point for those new to programming. Ease of Learning Python’s syntax is designed to be clear and readable, resembling plain English. For non-programmers, this means a gentler learning curve. The simplicity of Python allows beginners to focus on understanding fundamental programming concepts without getting bogged down in convoluted syntax. Versatility and Applicability Python’s versatility extends across various domains, making it a valuable asset for non-programmers. From web development and data analysis to artificial intelligence and automation, Python finds applications in diverse fields. This adaptability ensures that learners can explore different areas of interest and tailor their programming journey according to their preferences. Abundance of Resources A vast and supportive community surrounds Python, providing an abundance of resources for learners. Numerous online tutorials, forums, and documentation make it easy for non-programmers to seek guidance and find solutions to challenges they may encounter. The wealth of resources fosters a collaborative learning environment, enhancing the overall learning experience. Community and Collaboration Python’s popularity has led to the formation of a vibrant and welcoming community. For non-programmers, this means access to a network of experienced developers willing to share knowledge and assist with problem-solving. Engaging with this community not only aids learning but also introduces individuals to the collaborative nature of programming. Extensive Library Support Python boasts an extensive collection of machine learning libraries and frameworks, simplifying complex tasks for non-programmers. These pre-built modules enable users to leverage powerful functionalities without delving into intricate code. This accessibility allows beginners to accomplish tasks efficiently, boosting confidence and motivation. Applicability in Data Science and Analysis For those interested in data science, Python’s popularity in this domain is a major advantage. Its libraries, such as NumPy and Pandas, provide robust tools for data manipulation and analysis. Non-programmers can easily grasp these tools, opening doors to opportunities in the rapidly growing field of data science. Automation and Productivity Learning Python introduces non-programmers to the world of automation. The language’s simplicity facilitates the creation of scripts to automate repetitive tasks, enhancing efficiency and productivity. This practical aspect is especially appealing to individuals seeking ways to streamline their workflows in various professional or personal settings. Career Opportunities Acquiring Python skills enhances non-programmers’ employability across industries. Many organizations value Python proficiency due to its widespread use and versatility. Learning Python provides individuals with a valuable skill set, making them competitive candidates in job markets where programming knowledge is increasingly in demand. How To Choose The Right Python Libraries For Your Needs? Choosing the right machine learning libraries for your needs is a crucial step in developing efficient and effective programs. Python’s extensive library ecosystem can be overwhelming, but a strategic approach ensures you select the tools that align with your specific requirements. Identify Your Project Requirements Begin by clearly defining your project’s objectives and requirements. Understanding the problem you aim to solve or the tasks you need to accomplish will guide your library selection. For instance, if you’re working on a machine learning project, libraries like TensorFlow or Scikit-learn might be relevant. Research and Understand Options Conduct thorough research on available libraries within the domain of your project. Explore documentation, user reviews, and community support to gauge the effectiveness and ease of use. This step ensures that you make informed decisions based on the library’s features and capabilities. Consider Library Compatibility Check the compatibility of the libraries with your Python version and other dependencies. Compatibility issues can hinder your project’s progress and lead to unnecessary complications. Choose libraries used in machine learning that seamlessly integrate with your existing technology stack to avoid roadblocks during implementation. Evaluate Performance Assess the performance of potential libraries used in machine learning by considering factors such as execution speed and resource utilization. Depending on your project’s nature, you may prioritize speed, efficiency, or memory usage. Understanding these aspects helps in selecting a library that aligns with your performance expectations. Community Support and Documentation Opt for deep learning with python with active communities and comprehensive documentation. A vibrant community ensures ongoing development, support, and troubleshooting resources. Well-documented libraries make it easier for you to understand and utilize the functionalities, reducing the learning curve. Scalability and Maintenance Consider the scalability of the deep learning with python in the long run. Choose tools that can accommodate future expansion or modifications to your project. Additionally, evaluate the maintenance aspect – libraries with regular updates and a history of addressing issues promptly are preferable for sustained development. Test the Libraries Before making a final decision, conduct small-scale tests with the shortlisted libraries. This hands-on approach allows you to experience the ease of use, functionality, and performance firsthand. Testing also reveals potential challenges or advantages that may not be apparent through documentation alone. Seek Expert Advice If you encounter difficulty in choosing between libraries, seek advice from experienced developers or experts in the field. Their insights can provide valuable perspectives and help you make an informed decision based on practical considerations. Future Of Python For Data Science Versatility and Accessibility Python’s versatility is a cornerstone of its enduring popularity. It serves as a multipurpose language, making it well-suited for a wide range of applications, including data science. Its syntax, resembling plain English, enhances accessibility, making it an ideal choice for both beginners and seasoned professionals. Rich Ecosystem of Libraries The extensive collection of libraries and frameworks in Python, such as NumPy, TensorFlow python, Pandas, and Scikit-Learn, forms a robust foundation for data science tasks. These libraries simplify complex operations, accelerate development, and contribute significantly to the language’s prominence in the data science community. Machine Learning Dominance Python’s dominance in the field of machine learning is a key driver for its future in data science. With libraries like TensorFlow and PyTorch, Python facilitates the development and deployment of machine learning models. Its adaptability to the evolving landscape of artificial intelligence ensures that Python will remain at the forefront of cutting-edge advancements. Community Support and Collaboration The thriving Python community is a testament to the language’s enduring success. The open-source nature of Python encourages collaborative development, leading to continuous improvements and innovations. This strong community support ensures that Python remains relevant and well-maintained, reinforcing its position in data science. Integration with Big Data Technologies As organizations grapple with vast amounts of data, Python seamlessly integrates with big data technologies such as Apache Spark and Hadoop. This adaptability positions Python as a go-to language for handling and analyzing large datasets, a crucial aspect of contemporary data science. Growing Job Market Demand The increasing demand for data science professionals translates into a burgeoning job market for Python experts. The language’s prevalence in data science roles across various industries, from healthcare to finance, underscores its indispensability. As this demand continues to rise, proficiency in Python will likely become a valuable skillset. Continuous Development and Updates Python’s commitment to regular updates and improvements ensures that it stays relevant in the face of evolving technological landscapes. The language’s adaptability to incorporate the latest features and address emerging challenges solidifies its place in the future of data science. Conclusion Python is the go-to language when it comes to data science and machine learning and there are multiple reasons to choose python for data science.  You can check out IIT Delhi’s Advanced Certificate Programme in Machine Learning in association with upGrad. IIT Delhi is one of the most prestigious institutions in India. With more the 500+ In-house faculty members which are the best in the subject matters. Python has an active community that most developers create libraries for their own purposes and later release it to the public for their benefit. Here are some of the common machine learning libraries used by Python developers. If you want to update your data science skills, check out IIIT-B’s Executive PG Programme in Data Science program. 

by upGrad

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19 Feb 2024

Top 15 Highest Paid IT Jobs in India for Freshers & Experienced [A Complete Guide]
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Top 15 Highest Paid IT Jobs in India for Freshers & Experienced [A Complete Guide]

Summary: In this Article, you will learn top 15 highest paid IT jobs in India for freshers & Experienced. Top 15 Highest Paid IT Jobs Average Salary per Annum Computer Programmer ₹504,182 per year Web Developer ₹389,945 per year Computer Support Specialist ₹379,092 per year Computer & Information Systems Manager (CISM) ₹181204 per year Computer Hardware Engineer ₹396,132 per year Computer & Information Research Scientist ₹267,80,08 per year Big Data Engineer ₹713,952 per year Software Systems Developer ₹550,000 per year Blockchain Developer ₹715,101 per year Software Applications Developer ₹434,717 per year Computer Network Architect ₹1,814,000 per year Information Security Analyst ₹538,000 per year Computer Systems Analyst ₹992,000 per year Database Administrator ₹705,000 per year Network & Computer System Administrators ₹735,423 per year Read more to know each in detail. Since the genesis of humanity, Homo sapiens have been fascinated with creating something new. This quest of human beings has led the foundation of the discovery of these modern days’ sophisticated and state-of-the-art technologies that ease out the hardships of our lives. It seems that this quest for the invention is still drawing youngsters toward the Information Technology (IT) sector. Besides, when it comes to career prospects, techies are one of the highest-paid professionals.   Why Choose Information Technology as a Career? There are several success stories about people who chose Information Technology as a career. Be it Steve Jobs, Bill Gates or Mark Zuckerberg, the IT sector has a long list of icons who had made their fortunes starting from scratch. Here are a few reasons that make IT jobs a lucrative career choice: Learners receive an average Salary hike of 58% with the highest being up to 400%. Affordable Cost of Study: Although a lot of IT professionals are engineers, having a B.Tech or B.E. degree is not the only way to get a decent IT job. A few certification courses in specific areas or pursuing a vocational course in the tech sector can easily land you an internship.  The benefit of selecting information technology as a career is that it comes with a low cost of education compared to other career choices. Completing a 4-year degree program to become an I.T. professional is not compulsory. As an alternative, you can obtain quick training to be certified in your areas of interest in the IT domain. Adopting this approach saves huge amounts of money that you might have otherwise expended on college tuition fees. So, you can get the best job in IT sector without spending much. Dynamic Industry: The IT sector is rapidly changing with new innovations, making some ground-breaking developments which are shaking the earlier established technologies. This opens a window of opportunity on a regular basis that requires a significant number of highly skilled workers. Currently, blockchain and cryptocurrency is a rapidly evolving technology. With the innovations brought in big data, cloud computing, and cybersecurity, aspiring I.T. professionals have many career options. The learning never stops and IT professionals must always stay abreast with the latest technological trends to get the best job in IT sector. They can increase tier chances of getting decent jobs if they avail more knowledge and training. Highly Paid Jobs: Like other fields, the salary of an IT professional also increases with experience and expertise. Notably, the increment in this sector is better than any other. On top of that, a research study conducted by the US Bureau of Labour Statistics (BLS) states that “the growth of employment in computer and information technology is up by 12% from 2018 to 2028, much faster than the average for all occupations.” In that case, the salaries of techies employed in the best IT jobs are also going to increase.  Tech professionals are honoured for their core technical skill sets. So, they are invaluable assets in any IT firm. When the matter comes to their financial compensation for work, it is significantly higher than the average compensation offered to junior-level positions. Several IT jobs offer excellent career advancement opportunities for a hardworking and dedicated IT professional. Based on the location and industry, software engineers can earn an average salary of approx. $83,000. It is significantly higher than the national average in the US. A wide range of career opportunities: Information Technology is not a secluded industry but overlaps with many other sectors. So, it is a versatile career opportunity. Digital transformation is empowering change in all aspects of business, ranging from healthcare to finance. This allows the IT professionals to select one of the most suitable career options in IT field that lines up with their interests. Many emerging career options in IT field will perceive full-scale application in the upcoming decade. Hence, tech professionals can flexibly select their career paths and contribute to global innovation. Comfortable work environment: Although several IT jobs spend most of their time in an office, there are travel opportunities too. For example, jobs that demand training or consulting often require employees to fly to various branch locations. Certain career options in the IT field allow for permanent remote work so employees can live and work anywhere they like. Constant Evolution: The I.T. field is characterized by continuous innovation and evolution. New technologies, tools, and frameworks emerge regularly, providing I.T. professionals with the exciting challenge of staying current and adapting to change. If you thrive on learning and embracing new ideas, I.T. offers a dynamic environment that keeps you engaged. Learning Never Stops: The I.T. landscape is perpetually evolving, ensuring your learning journey never ends. This field encourages continuous professional development, enabling you to acquire new skills, certifications, and knowledge throughout your career. Personal Growth: Working in I.T. pushes you to develop valuable personal attributes such as adaptability, resilience, and the ability to learn from failures. Overcoming technical challenges boosts your confidence and hone your problem-solving skills. Top highest paying companies in India for I.T. Graduates India’s Information Technology (I.T.) sector has witnessed remarkable growth over the years, becoming a hub for tech-savvy professionals and graduates with I.T. backgrounds. As a result, numerous companies offer enticing job opportunities to I.T. graduates, often providing competitive remuneration packages. Here’s a list of some of the highest-paying companies in India that are actively recruiting students with I.T. qualifications: – 1. Tata Consultancy Services (TCS) TCS is one of India’s leading I.T. services companies, renowned for its diverse projects and global presence. The company offers attractive salary packages and comprehensive employee benefits, making it a top choice for I.T. graduates. 2. Infosys Infosys is a multinational corporation that provides I.T. consulting and services. It is known for its excellent work culture and high-paying positions for I.T. graduates. 3. Wipro Wipro is another I.T. industry giant offering a wide array of technology services. The company is known for its competitive compensation packages and career growth opportunities. 4. HCL Technologies HCL Technologies is a global I.T. services company that offers innovative solutions to various industries. It offers lucrative packages and a conducive work environment for I.T. professionals. 5. Tech Mahindra Tech Mahindra specializes in digital transformation, consulting, and business re-engineering solutions. The company provides attractive remuneration and a platform for I.T. graduates to enhance their skills. 6. IBM India IBM is a multinational technology company with a strong presence in India. Known for its cutting-edge projects, IBM India offers high-paying positions and a chance to work on innovative technologies. 7. Capgemini Capgemini is a global corporation that offers consulting, technology, professional, and outsourcing services. The company is recognized for its competitive salaries and opportunities to work on challenging projects. 8. Accenture Accenture provides a broad range of strategy, consulting, digital, technology, and operations services. With its global reputation, Accenture offers handsome pay packages and exposure to diverse projects. 9. Microsoft India Microsoft, a multinational technology giant, has a strong presence in India. The company offers high-paying positions for I.T. job roles for freshers graduates and a chance to work with cutting-edge technologies. 10. Amazon India Amazon, a global e-commerce and technology company, offers many IT-related positions. Known for its innovative work environment, Amazon India provides competitive salaries and growth opportunities. 11. Google India Google, a world-renowned technology company, also has a significant presence in India. The company offers attractive compensation packages and a chance to work on projects that impact millions. 12. Adobe India Adobe specializes in creative software products and services. The company is known for its competitive salaries and creative work environment that attracts I.T. graduates. Information technology is the field of dreamers and enthusiasts who are committed to making new advancements.  Top 15 Highest Paid IT Jobs In India Making a significant IT career in today’s world can be a little challenging with increasing competition. In order to get the best job in IT sector and find a job at your dream company, one has to know about the types of IT jobs and salaries to make the right choice. To know more about the IT field jobs below is an IT jobs list and salary that will help you to land the best job in IT sector.  1. Computer Programmer Starting Salary: Rs. 200,000 & up Average Salary: Rs. 504,182 Top Spot Expectations: Rs. 1,102,000 Source As a computer programmer, one needs to write and test codes for systems and software applications. The real-world implementations of computer programs are the real tasks for these techies. The skill requirement for this IT job is programming languages like C++, Java, Cobol, Python, and others. Eligibility Criteria: To become a Computer Programmer, one must have 65% in 10+2 from any recognised board. Along with that, should have a bachelor’s degree in Computer Science or IT with a minimum 65% aggregate from any recognised institute. Knowledge of programming languages such as JAVA and Python can work as an added bonus to land such IT field jobs.  2. Web Developer Starting Salary: Rs. 192,000 Average Salary: Rs. 389,945 Top Spot Expectations: Rs. 656,000 Source Web developers are responsible for developing, designing, and managing websites. Besides gaining knowledge of coding and programming language, this is one of the highest paying IT jobs which requires a pinch of creativity and quest for designing. Besides, the designing part, a web developer also looks after the technical aspects of any website which include reducing the loading time, the layout of the pages, and other general performance parameters. As per reports, the sector is speculated to grow by 27% between 2014 and 2024. That makes it one of the most in-demand IT careers. Eligibility Criteria: To become a successful web designer, skills are more valued than qualifications; therefore, the person has to be skilled in various fields such as designing User Experiences (UX and User Interface (UI), visual designing, knowing multiple coding languages such as HTML and CSS, knowing the basics of frontend web programming languages and skills like JavaScript, Ajax, and other web animation techniques and some backend web programming languages such as Java, PHP or Ruby.  3. Computer Support Specialist It is hardly the case that all who use a computer have an adequate working knowledge of it. Now-a-day, computers and embedded systems are placed almost everywhere and used by a whole spectrum of people but not everyone is an expert in handling those and that’s where Computer Support Specialists come into the picture. Source In this IT job, one needs to run tests on networks, perform maintenance checks, and troubleshoot potential threats. Generally, a Computer Support Specialist listens to any technical problem faced by users and gives some troubleshooting and repairing advice. It is not necessary that one finds a job in the IT sector only as a Computer Support Specialist. The expected job growth in this sector is almost 12% per annum. Eligibility Criteria: The very first step to becoming a Computer Technical Support Specialist is to have a bachelor’s degree in computer science or relevant fields. However, some companies might also require showing an associate degree with on-the-job training and certification. Studying computer systems and software is necessary to work in this career as the job profile requires intrinsic computing knowledge. 4. Computer & Information Systems Manager (CISM) Average Salary: Rs. 79,521 Job Growth: 15% Source Popularly known as IT project managers, these techies are experts in their respective fields and work to find real-world solutions for technological problems. Like any other manager, they must take care of the workflow and roadmap of any projects that include planning of projects, assignments, and managing various phases of implementation of an operation. As a CISM, you will supervise and implement all IT related tasks while upholding the network stability and security. This IT job normally requires a Bachelor’s degree. Eligibility Criteria:  The candidate must have completed their basic education with science stream and computer science in their 10+2. Later it has to be followed by a bachelor’s in computer science. Degree courses such as computer programing, or software development, will require fluency in mathematics for such job roles. After completing B. Tech or B.Sc the candidate can also opt for higher studies in M.Tech or M.Sc to acquire more knowledge or can specifically do MCA, which will increase the chances of becoming an Information Systems Manager.  Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript 5. Computer Hardware Engineer Starting Salary : Rs. 305,000 Average Salary: Rs. 396,132 Top Spot Expectations : Rs 487,000 Job Growth: 3% Source Although a lot of tasks in any computer system are handled by software, the system is a combination of both hardware and software. And in order to keep the other half in working condition, the IT industry requires Computer Hardware Engineers. These techies deal directly with physical components of the system including processors, motherboards, memory chips, and many others. Notably, once the system is built, it doesn’t require that much of H/W alteration, but regular check-ups of the system are necessary for smooth functioning. Hardware Engineers look after the physical health of a system. Eligibility Criteria: The candidate has to have PCM in their 10+2, after which they must clear the engineering entrance exam and get their B.Tech degree in computer engineering. To pursue a computer engineering degree from a reputed college, the candidates often have at least two A- level grades in maths and other science subjects. Candidates can also [usue B.Tech Mechanical Engineering or BE Mechanical Engineering to become eligible for the role of a Hardware Engineer. 6. Computer & Information Research Scientist Job Growth: 11% Source Computer and Information Research Scientists are at the forefront of the IT industry. They are responsible for harnessing computer technology for inventing the technologies of the future. Various sectors like business, medical, and many scientific fields, time and again, encounter complex problems. It is considered a lesser competitive IT career as not many people have the academic prowess and persistence the position demands, making it tough to crack.  Computer and Information Research Scientists are responsible for coming up with innovative solutions to handle those problems. A number of these techies work with or for governments or with universities. Eligibility Criteria:  Candidates must have PCM in their 10+2 to obtain this job role. A bachelor’s degree in relevant IT or computer science course is also preferred. While many people bag opportunities with a bachelor’s, some also take a step ahead and go for a master’s to gain an edge over other candidates. Additional certifications in various programming languages can be another bonus to make job search easier. 7. Big Data Engineer Starting Salary : Rs. 427,000 Average Salary: Rs. 713,952 Top Spot Expectations : Rs 1,452,000 Job growth: 28% Source Data is going to be the costliest asset in the future. However, data is just a raw collection of facts if no conclusion or analysis can be drawn out of it. The main task of any Big Data Engineer is to segregate those data chunks in the form of information packets so that some meaningful information or insights can be generated. This is one of the newly evolved areas in the IT field and is expected to be an industry with the highest salaried employees.  Big Data engineers transform huge amounts of structured, semi-structured, and unstructured data into valuable data. They are also responsible for developing top-tier algorithms, scalable data management systems, and predictive models which can precisely forecast market fluctuations, industry innovations, and other trends. So, an IT career in big data offers great career opportunities. Eligibility Criteria: Even if there are not many hardbound requirements to become a big data engineer, most of the chosen candidates for this field are from mathematics, engineering, finance, statistics, or economics background. The ideal candidate must have a bachelor’s degree in the aforementioned fields and a master’s degree in subjects like data analytics. The candidate also needs to learn a handful of technical skills such as data visualisation, SQL, data mining, etc.  Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses 8. Software Systems Developer Starting Salary : Rs. 300,000 Average Salary: Rs 550,000 Top Spot Expectations : Rs. 1,000,000 Source This section of IT people works with the systems. Their main task is to develop system-level software. Since these experts must develop real-world solutions using technology, there is a vast opportunity for them to explore in fields like medical, military, industrial, and scientific. As a software system developer, one needs to harness the basic principle of computer science. So having a good command over basics can take you a long way in this sector. Eligibility Criteria: Besides basic eligibility criteria such as PCM in 10+2 and a bachelor’s in tech, these are the eligibility criteria for junior or entry-level jobs. However, some senior-level jobs might also require the candidate to have a master’s degree. Apart from that, the candidate should also know the basics of coding languages, database knowledge, debugging, source control, etc.  9. Blockchain Developer Starting Salary : Rs. 340,000 Average Salary: Rs. 715,101 Top Spot Expectations : Rs. 1,091,000 Job Growth: 517% Source Blockchain and cryptocurrencies are overloading the market, especially the financial market, in a way that the invention of computers had done way back in the 70s. This decentralized technology is booming at a rapid pace and there is a huge window of opportunity for freshers to start their careers in this sector. The demands in this sector are unprecedented and are expected to go further up in the near future.  Eligibility Criteria:  A blockchain developer aspirant must have a bachelor’s degree in computer science or information security from a reputed college. The candidate also has to have a solid knowledge of data structures, as blockchain requires in-depth knowledge and implementation of data structures. However, there are some exceptions where candidates who are not from computer science backgrounds have become great blockchain developers. Still, for that, the candidate has to have a proven record in the field.  If you are interested to create blockchain applications from scratch, check out upGrad & IIIT-B’s PG Diploma in Software Development – Specialization in Blockchain. 10. Software Applications Developer Starting Salary : Rs. 266,000 Average Salary: Rs. 434,717 Top Spot Expectations : Rs. 1,655,000 Source There are two major types of software developers: system developers and application developers. As a system developer, one looks after the process of generating solutions. These experts work on embedded computers that are used in our day-to-day electronics like washing machines, refrigerators, cars, etc.  Application developers create computer or mobile applications as per the requirements of the users. Optimizations of apps are a major task for these developers especially when the task undertaken is for any enterprise customer. Applications are generally specific to any business or for carrying out any task. Software developers are primarily responsible for: Using different source debuggers and visual development environments to adapt, write, and debug software for client applications. Document and assess client software and write code to develop applications that stand alone or enhance access to services and servers. Many IT firms need candidates to hold a bachelor’s degree (in information technology, computer programming, or computer science) and industry experience.  Typically, software developers work in office settings. Many also work as information technology specialists apart from their software development roles. This ability indicates their versatility in careers in IT. Eligibility Criteria: The candidate must have science subjects in their 10+2 level with a minimum of 50% aggregate. Then the candidate must complete their bachelor’s degree in computer science, computer engineering, or another such field. The candidates are also preferred to have programming skills and know the fundamentals of HTML, MS, or SQL along with Java and PHP. Performing independent development and creating one’s own resume can significantly increase the chances of employment, hence candidates are encouraged to actively participate in real-time projects.  In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses 11. Computer Network Architect Starting Salary : Rs. 741,000 Average Salary: Rs. 1,814,000 Top Spot Expectations : Rs. 3,871,000 Job Growth: 9% Source Communication Network generation, handling, and management is the prime job for any Computer Network Architect (CNA). Be it LAN, MAN or WAN, CNA looks after all such communication channels in a network. Additionally, they also look after the initial planning of the network system as in which network is best suited in an area, organization or locality. Computer network architects build data communication networks encompassing LANs, WANs, and Intranets. Such networks extend from small connections between the two offices to cutting-edge networking potentials like a cloud infrastructure that benefits multiple customers. Network architects should possess extensive knowledge of an organization’s business proposal to design a network that can assist the organisation in fulfilling its goals. The list of Computer network architects’ responsibilities that help them excel in their careers in IT: Design procedures and layouts for data communication networks. Convey plans to the management team and clarify why they are in the organization’s best interest to follow them. Implement information security while designing networks. Upgrade hardware like adaptors or routers, and software like network drivers, as required to support computer networks. Eligibility Criteria: Along with basic educational requirements, some organisations might also prefer the candidate to have an MBA in information systems. Candidates should also know about popular programming languages such as Python, Perl, or JSON. Knowledge of automation frameworks such as Ansible and Puppet further strengthens their chances of receiving job opportunities.  12. Information Security Analyst Starting Salary : Rs. 310,000 Average Salary: Rs. 538,000 Top Stop Expectations : Rs. 941,000 Job Growth: 18% Source Network security is the most important responsibility for any organization or a nation. No one wants to have a leaky network when it comes to handling data. Besides, a network needs to be protected from potential threats of attacks and unauthorized access. The Information Security Analyst is one who looks after all such threats. The experts in one of the highest paying IT jobs laid out the foundation to carry out security checks. They constantly monitor networks and systems for security breaches and potential violations. Encrypting any network is also a primal objective of Information Security Analyst. Information security analysts ensure the security of their companies’ data computer systems against cyberattacks. They deploy protective software, oversee prospective breaches, and tackle any cyberattacks. Leading employees need information security analysts to ensure the security of their company’s data and system. Usually, Information security analysts require a computer science-related bachelor’s degree to advance in their IT career. Certain firms hunt for an MBA professional in information systems. Achieving industry-standard certifications can improve employment prospects for professionals in the IT field. Eligibility Criteria: Along with primary eligibility criteria, the candidate should have certifications in ethical hacking or similar information security-related programs. Most companies, even for an entry-level job prefer the candidates to have one to five years of experience in related roles like a system administrator. 13. Computer Systems Analyst Starting Salary : Rs. 395,000 Average Salary: Rs. 992,000 Top Spot Expectations : Rs. 1,485,000 Job Growth: 18% Source It is one of the most sophisticated jobs in the IT sector. And therefore it is arguably the highest paid IT job. As a Computer System Analyst, one looks at the prospects of how an organization can upgrade its existing systems while upholding the existing level of reliability. These professionals are highly trained and have years of experience. They discuss issues with the management, research new ideas, look out for innovation in the market and combine all these to find a way to adapt new changes in the system. As per speculation, this sector has a huge potential for growth and is one of the best tech careers. Computer systems analysts study the applications and hardware subset of a company’s computer systems. Also, they study how they are used. They closely collaborate with managers to discern business priorities and system specifications. They evaluate the computer systems’ efficiency and build techniques to improve IT efficiency.  Individuals who choose a career in the IT field as a computer system analyst support implementation, amendment, and debugging of new systems after being installed. Eligibility Criteria:  Graduates from mathematics may pursue a master’s and apply for this role. However, nowadays, the majority of the companies prefer candidates who have an MBA in Information Technology as the job also requires the candidate to have a brief knowledge of business and its different facets. 14. Database Administrator Starting Salary : Rs. 355,000 Average Salary: Rs. 705,000 Top Stop Expectations : Rs 1,333,000 Job Growth: 11% Source For any organization, the database plays a pivotal role in taking decisions and framing policies. As the insights are drawn from data, someone is required to store, organize, and implement data effectively. And that is the exact task of any Database Administrator. The most common form of database that a database administrator needs to handle is financial or customer records. The Database Administrator is basically an inventory manager when it comes to storing data. Database administrators uphold and defend sensitive information. They offer access to critical datasets for institutions, companies, and government bodies. These professionals consolidate sensitive datasets like purchase histories, financial records, and customer details. They ensure that relevant materials are available to other IT professionals while upholding privacy and information security. They back up, restore, and troubleshoot system access and database sets. Moreover, they update and integrate old programs to execute the latest technology. Database administrators need a minimum bachelor’s degree in computer science or information science for most entry-level positions in the IT field. Eligibility Criteria: If the candidate is looking for a senior-level post as a database administrator, they might require a master’s degree or equivalent years of working experience in the relevant field. Depending on the size and job roles, some organisations might also prefer post-graduate candidates for entry-level jobs.  15. Network & Computer System Administrators Average Salary: Rs. 735,423 Job Growth: 8% Source In any organization, there is a network of computers and systems that needs to work in tandem to maintain the smooth processing of the whole system. The Network & Computer System Administrators are responsible to set up, maintain, and repair this network so that the firm can conduct business easily and meet its goals. Training subordinates to handle these systems and network operation is another important task of any Network & Computer System Administrator.  Computer networks are significant elements in any IT firm and so the IT field jobs are demanding. Network and computer systems administrators are tasked with every operation of computer networks. They build, install, and support an organization’s computer systems containing LANs, WANs, intranets, network segments, and other data communication systems. The list of Network and computer systems administrators’ responsibilities in their IT field jobs: Identify an organization’s system requirements, and install network hardware and software. Perform necessary upgrades and repairs to the networks. Ensure the network systems are operating properly. Preserve computer system and network security. Assess and optimize the system or network performance. Train users on the effective usage of hardware and software. Diagnose and solve problems when an automated monitoring system or alerts about a problem. Add users to a network, and allocate and update security permissions across the network. Eligibility Criteria:  Along with basic tech background, diploma courses or certification courses that focus on hardware, computer network, or system administration also assist candidates to make it to their dream organisations. The candidate may also require to write small coding scripts therefore, knowing the fundamentals of Cloud-control APIs and programming languages can be an added bonus. Read our Popular Articles related to Software Development Why Learn to Code? How Learn to Code? How to Install Specific Version of NPM Package? Types of Inheritance in C++ What Should You Know? Where to Look for Best-Paying Jobs in the IT Sector or Technology? In the dynamic landscape of the Information Technology (IT) sector, finding the best-paying jobs requires a strategic approach. Let’s delve into types of jobs in IT sector in India and platforms that can majorly enhance your chances of landing high-paying positions. Job Boards and Online Platforms Begin your search on reputable job boards and online platforms. Websites like LinkedIn, Indeed, and Glassdoor are treasure troves of job opportunities in the tech industry. Create a compelling profile, highlight your skills, and regularly update your resume to attract potential employers. Specialized IT Recruitment Agencies Consider engaging with specialized IT recruitment agencies. These agencies often have exclusive access to high-profile job openings and can provide personalized guidance tailored to your skill set. Their expertise in matching candidates with the right positions can be instrumental in securing top-tier roles. Industry-Specific Conferences and Events Attending industry-specific conferences and events can open doors to lucrative opportunities. Networking with professionals, participating in workshops, and staying abreast of industry trends can offer you a competitive edge. Companies often use these platforms to scout for top talent. Certifications and Continuous Learning Investing in certifications and continuous learning is crucial in the rapidly evolving IT landscape. Acquiring in-demand certifications not only enhances your skill set but also makes you a desirable candidate for high-paying roles. Keep an eye on emerging technologies and update your expertise accordingly.   Company Websites and Career Pages Explore the career pages of leading technology companies. Many organizations prefer to advertise their job openings directly on their websites. Regularly checking these pages and submitting applications can put you in the running for well-compensated positions. Professional Networking Building a strong professional network is very important in the IT sector. Attend local meetups, join online forums, and connect with professionals in your field. Networking not only exposes you to hidden job opportunities but also allows individuals to learn from experienced individuals in the industry. Top IT Hubs in India to Get IT Jobs India has emerged as a global IT hub, offering many job opportunities for tech enthusiasts. To tap into this vibrant market, it’s essential to explore the top IT hubs where the demand for skilled professionals is at its peak. Let’s dive into the key cities that stand out as prime destinations for IT job seekers. Bangalore – Silicon Valley of India Overview: This city is known as the Silicon Valley of India, Bangalore is a bustling IT hub that houses the headquarters of numerous multinational corporations. The city’s vibrant ecosystem fosters innovation and entrepreneurship, making it a perfect destination for tech professionals. Job Opportunities: Bangalore boasts a diverse range of IT opportunities, spanning software development, data analytics, artificial intelligence, and more. Major tech parks and business districts like Electronic City and Whitefield host many IT companies, providing a fertile ground for job seekers. Hyderabad – The Cyberabad Connection Overview: Hyderabad has rapidly evolved into a prominent IT destination, earning the moniker “Cyberabad.” The city’s infrastructure, coupled with a thriving IT ecosystem, attracts established companies and startups, creating a conducive environment for career growth.  Job Opportunities: The city’s IT landscape encompasses a wide array of domains, including IT services, research and development, and emerging technologies. Companies in HITEC City and Gachibowli offer opportunities for professionals in software development, cybersecurity, and data science. Pune – An Emerging IT Hub Overview: Pune has emerged as a significant IT hub, combining a rich cultural heritage with a burgeoning tech industry. The city’s pleasant climate and a growing number of IT parks make it an attractive destination for IT professionals. Job Opportunities: Pune’s IT sector spans software services, product development, and IT consulting. The Hinjewadi IT Park and Magarpatta City are major IT hubs hosting global giants and startups. Professionals can explore opportunities in application development, cloud computing, and automation. Chennai – Gateway to the South Overview: Chennai, the capital of Tamil Nadu, serves as a gateway to the South Indian IT landscape. The city’s strategic location, coupled with a robust infrastructure, has led to its emergence as a hub for IT and business process outsourcing (BPO) companies. Job Opportunities: Chennai’s IT sector covers a spectrum of roles, including software development, IT consulting, and business analytics. Companies in OMR (Old Mahabalipuram Road) and Tidel Park offer diverse opportunities for IT professionals. Noida-Greater Noida – The Delhi NCR Hub Overview: The Noida-Greater Noida region, part of the National Capital Region (NCR), has witnessed rapid growth in the IT sector. Proximity to Delhi and robust infrastructure make it an attractive destination for IT professionals. Job Opportunities: This region hosts a mix of IT companies, ranging from MNCs to startups. Professionals can explore opportunities in software development, IT services, and emerging technologies. The presence of IT parks like Noida Special Economic Zone (NSEZ) and Sector 125 adds to the city’s appeal. Set of Skills Needed to be Successful in the IT Field The Information Technology (IT) sector is dynamic and demanding, requiring a versatile skill set to thrive in a rapidly evolving landscape. Whether you’re a seasoned professional or a budding IT enthusiast, honing the right skills is paramount for success. Let’s explore the key competencies that can make a significant difference in your IT career. Technical Proficiency Overview: At the core of IT success lies technical proficiency. A strong base in programming languages, database management, and system architecture forms the backbone of your IT skill set. Examples: Mastering languages like Python, Java, or C++, along with proficiency in SQL for database management, positions you as a technically adept professional. Stay abreast of the advanced technologies and tools relevant to your domain. Problem-Solving and Analytical Thinking Overview: The IT sector is synonymous with problem-solving. Employers value individuals who can analyze complex issues, break them into manageable components, and devise effective solutions. Examples: Cultivate your analytical thinking by engaging in coding challenges, participating in hackathons, and working on real-world projects. Develop a systematic approach to problem-solving, demonstrating your ability to troubleshoot and innovate. Communication Skills Overview: Effective communication is a cornerstone skill in the IT sector. The capability to convey technical information to both technical and non-technical stakeholders is crucial for project success. Examples: Hone your communication skills through clear documentation, concise emails, and articulate presentations. Being able to explain complex concepts in a very simple, understandable manner fosters collaboration and enhances your professional standing. Adaptability and Continuous Learning Overview: In the ever-evolving IT landscape, adaptability is key. The ability to embrace change, learn the latest and new technologies swiftly, and stay current with industry trends ensures long-term success. Examples: Invest time in continuous learning through online courses, workshops, and certifications. Stay curious and open-minded, exploring emerging technologies like artificial intelligence, cloud computing, and cybersecurity. Team Collaboration and Interpersonal Skills Overview: The IT sector is rarely solitary; successful professionals thrive in collaborative environments. Strong interpersonal skills and the ability to work seamlessly in a team are highly valued. Examples: Engage in team projects, participate in group discussions, and actively contribute to collaborative efforts. Demonstrating your ability to collaborate enhances your professional relationships and contributes to project success. Time Management and Organizational Skills Overview: Meeting project deadlines and managing multiple tasks efficiently are essential skills in the IT sector. Effective time management ensures that projects progress smoothly. Examples: Utilize tools like project management software, create detailed schedules, and prioritize tasks entirely based on urgency and importance. Efficient time management helps in increasing productivity but also reflects positively on your reliability as a professional. Conclusion Hope this IT jobs list and salary were brief enough to help you understand the different types of IT jobs and salaries. Information Technology is still one of the most sought-after fields when it comes to career prospects and will be in-demand no matter what. Just like any other career, it requires a lot of learning. However, just having a degree is not going to help in your career growth. If you are someone who strives for the highest paying IT jobs, you should keep learning and adding new skills into your arsenal.

by upGrad

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19 Feb 2024

Artificial Intelligence Salary in India [For Beginners & Experienced] in 2024
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907515

Artificial Intelligence Salary in India [For Beginners & Experienced] in 2024

Artificial Intelligence (AI) has been one of the hottest buzzwords in the tech sphere for quite some time now. As Data Science is advancing, both AI and ML are also advancing by leaps and bounds. In fact, AI adoption across various parallels of the industry is taking place at such a rapid speed that Gart ner predicts, by 2020, AI will create around 2.3 million jobs!  If you are a part or wish to be a part of this fast-paced, creative, and challenging industry, then read on to know the best job roles in artificial intelligence and the salary range in India. Check out our data science free courses to get an edge over the competition. Essentially, AI is a broad canvas that encompasses machine learning, deep learning, and natural language processing (NLP), among other things. As a result, AI applications across various industries are highly expansive, including innovations like AR/VR, smart personal assistants, IoT, gaming, robotics, face recognition software, speech recognition, vision recognition, recommendation engines, and much more. You can also consider doing our Python Bootcamp course from upGrad to upskill your career. We are sure, this must-have sparked a will to become a AI programmer within you! Let’s take a look at what is a typical artificial intelligence salary in India? Artificial Intelligence Salary Range in India Naturally, the more varied the applications, the greater is the variation in AI job roles and their respective salary packages. For instance, while the entry-level Artificial Intelligence salary in India for almost 40% of professionals earn around Rs. 6,00,000, mid-level and senior-level artificial intelligence salary could earn more than Rs. 50,00,000 in India. In the past few years, careers in AI have peaked to cater to the growing demands of digitally transformed industries. According to a 2018 report by Indeed, the need for AI skills has more than doubled in the past three years, with job postings in the domain going up by a whopping 119%. Source  Unfortunately, there are not enough talented professionals in Data Science (AI and ML) who can fill these job vacancies. According to a study by Analytics India Magazine in collaboration with Great Learning, “over 4,000 positions in India remain vacant due to shortage of qualified talent at the mid and senior level.” Featured Program for you: Fullstack Development Bootcamp Course The shortage of qualified professionals in AI is because it is still an emerging technology that demands a unique and specific set of skills. Because of the shortage of talents in this field, the salary range of artificial intelligence in India is high. The more skills and experience you acquire in this domain, the higher will be your remuneration. Get Machine Learning Certification from the World’s top Universities. Earn Masters, Executive PGP, or Advanced Certificate Programs to fast-track your career. Career in Artificial Intelligence – Educational Requirements Generally, most entry-level AI jobs demand a bachelor’s degree in Mathematics/Statistics/Computer Science/Information Technology. However, senior-level job roles (managerial/administrative or R&D roles) require a candidate to have a master’s degree or a Ph.D. in the fields mentioned above or any other related field (Engineering). As for the skills and knowledge, an aspiring AI professional must possess in-depth knowledge in the following domains: Mathematics (algebra, calculus, logic and algorithms, probability, and statistics): Proficiency in mathematics can lead to a high artificial intelligence salary per month, especially in data science-oriented positions, which require a strong grasp of statistical analysis and mathematical modeling.Understanding algebraic concepts, calculus for optimization problems, logical reasoning, and algorithm design is crucial. Knowledge in these areas is vital for modeling uncertainty, learning from data, and making predictions.  Computer science (proficiency in coding in multiple programming languages). Mastery in multiple programming languages (Python, Java, C++, etc.) is essential for implementing algorithms, building AI models, and working with AI frameworks. Strong coding skills are highly valued in the AI industry.  Bayesian networking (including neural nets): Involves probabilistic graphical models for uncertain reasoning. Neural networks form the backbone of deep learning and AI applications. Expertise in Bayesian methods and neural networks, especially in cutting-edge AI applications like deep learning, can lead to a hefty AI salary in India in specialized AI fields and research.  Cognitive science theory: Understanding human cognition aids in designing AI systems that mimic or interact more naturally with humans. In industries like human-computer interaction or AI ethics, a blend of AI and cognitive science expertise can be highly valued, potentially leading to more specialized and higher artificial intelligence salary in India. Engineering: Knowledge of various engineering principles, such as systems design, optimization, and problem-solving, is crucial for implementing AI solutions in real-world scenarios. Strong engineering skills complement AI development, particularly in roles requiring the integration of AI into practical applications. Such expertise can lead to higher positions with hefty AI salary in India in sectors like autonomous vehicles, industrial automation, etc. Robotics: Knowledge of robotics complements AI, especially in fields like autonomous systems, computer vision, and robot control algorithms. Proficiency in robotics alongside AI can open doors to specialized and high artificial intelligence salary in India, especially in sectors involving robotic systems, automation, and advanced AI applications. Physics: Physics principles underpin various AI domains like natural language processing, computer vision, and reinforcement learning. Understanding physics can be valuable in specialized AI fields like robotics, simulation-based learning, or AI applications in physics-intensive industries, potentially leading to higher-paying artificial intelligence placements. For professionals already working in the IT sector, it is relatively easier to upskill for AI job roles by enrolling in AI certification courses, or training programs, or online boot camps.  When it comes to experience, nearly 57% of Indian companies recruiting for AI job roles seek candidates with more than five years of experience – the average AI experience of Indian professionals usually is around three years. As per WEF Report 2023, more than 85% of employers believe AI will create new job opportunities in the next 1-5 years and replace 85 million jobs by 2025. Also read: Data Scientist Salary in India Artificial Intelligence Salary Packages in India As we mentioned earlier, Artificial Intelligence salary for freshers in India starts at around Rs. 6 LPA and can stretch up to Rs. 12 LPA, with higher-end salaries usually offered by reputed companies like Amazon, Flipkart, Google, Facebook, etc. As for Machine Learning roles, the starting salary for freshers is generally Rs. 8 LPA, and it can go up to Rs. 10-15 LPA, depending upon the job role, skill set, and educational background. Candidates who have strong foundational knowledge in Data Science and a few years of work experience can earn as high as Rs. 17 LPA.  Also visit upGrad’s Degree Counselling page for all undergraduate and postgraduate programs. For most AI job profiles, Artificial Intelligence salary in India is much higher than the national average – professionals with AI skills and standard educational qualifications earn higher than their counterparts with similar educational qualifications (without AI skills). For instance, if you have 2-4 years of experience in AI, you can earn around Rs. 5-20 LPA. For professionals with 4-8 years of experience, the median salary range can be around Rs. 35-50 LPA, and those with over ten years of experience can earn over Rs. 1 crore per annum. For most AI job profiles, Artificial Intelligence salary in India is much higher than the national average – professionals with AI skills and standard educational qualifications earn higher than their counterparts with similar educational qualifications (without AI skills). For instance, if you have 2-4 years of experience in AI, you can earn around Rs. 5-20 LPA. For professionals with 4-8 years of experience, the median salary range can be around Rs. 35-50 LPA, and those with over ten years of experience can earn over Rs. 1 crore per annum. Source The annual salary packages of artificial intelligence job roles also vary according to location. While Mumbai leads the game by offering the highest Artificial Intelligence salary in India (Rs 15.6 LPA), Bengaluru follows suit with Rs 14.5 LPA. Chennai offers the lowest salary package for artificial intelligence talents in India standing at around Rs. 10.4 LPA.  Must Read: Free deep learning course! Here are a few top-ranking job opportunities for artificial intelligence in india with their respective average annual salaries: Principal Data Scientist – Rs. 17,11,180 –This role typically involves leading and overseeing data science projects within an organization. They are responsible for setting the strategic direction, guiding the team, and using advanced statistical and machine-learning techniques to derive insights from large datasets. They often collaborate with various departments to solve complex business problems using data-driven approaches. Many companies in India and worldwide offer hefty salary packages for this AI placement. Computer Scientist – Rs. 16,24,615 –These professionals have computer science theory, algorithms, and software development expertise. They design and develop innovative computer software, systems, and applications. Their work involves researching, analyzing, and implementing computational solutions for various technological challenges. The artificial intelligence job’s salary in India in the field of computer science is therefore, on the higher side due to the demanding nature of the role.  ML Engineer – Rs. 9,50,000 –Machine Learning (ML) Engineers focus on building and deploying machine learning models. They work closely with data scientists to develop algorithms and systems that can learn from and make predictions based on data. Usually, the AIML engineer salary is quite steep owing to the myriad of job responsibilities that this role comes with. They include data preprocessing, model development, and integrating machine learning solutions into applications or systems.  Data Engineer – Rs. 8,35,755 –Data engineers specialize in managing large volumes of data. They design, construct, and maintain data pipelines and infrastructure, ensuring data availability, reliability, and scalability. Data Engineers support data-driven initiatives with databases, data warehouses, and ETL (Extract, Transform, Load) processes.  Data Scientist – Rs. 6,99,928 –Data scientists analyze and interpret complex datasets to identify patterns, trends, and insights. They use statistical techniques, machine learning algorithms, and programming skills to solve business problems, develop predictive models, and drive data-driven decision-making within organizations. Most companies offer artificial intelligence placements in data science because of the high demand for experts in this field. This is why the artificial intelligence salary per month in these job roles is high, even for freshers. Research Engineer – Rs. 6,52,230 –Research engineers primarily focus on conducting research and development in specific technical areas. They work on exploring new technologies, testing hypotheses, and prototyping solutions. Their role often involves contributing to the innovation and advancement of technology within a particular field.  Algorithm Engineer – Rs. 5,40,220 –Algorithm engineers specialize in designing and optimizing algorithms to solve computational problems efficiently. They work on algorithmic challenges related to data processing, optimization, and problem-solving in various domains. Companies from various sectors and industries offer AI placement in this role, as experts in this niche are in constant demand. Data Analyst – Rs. 4,97,550 –Data analysts are responsible for interpreting data, analyzing results using statistical techniques, and generating reports or visualizations. They focus on gathering, cleaning, and transforming data to provide insights that support decision-making processes within organizations. Compared to other job roles, this position comes with quite a good salary, making it worth considering if you are an enthusiast in pursuing this field. Computer Vision Engineer – Rs. 4,50,000 –Computer vision engineers work on developing and implementing algorithms and systems that enable computers to interpret and analyze visual information from images or videos. They specialize in image recognition, object detection, and video analysis, often used in applications such as autonomous vehicles, surveillance systems, and augmented reality. Computer vision engineers are also rewarded with impressive artificial intelligence jobs salary. Some of the biggest recruiters of AI professionals in India are Fractal Analytics, Deloitte, IBM, Accenture, Amazon, LinkedIn, Citrix, Verizon, SAP Labs, Nvidia, Tech Mahindra, Flipkart, and Myntra.  Source Best Machine Learning and AI Courses Online Master of Science in Machine Learning & AI from LJMU Executive Post Graduate Programme in Machine Learning & AI from IIITB Advanced Certificate Programme in Machine Learning & NLP from IIITB Advanced Certificate Programme in Machine Learning & Deep Learning from IIITB Executive Post Graduate Program in Data Science & Machine Learning from University of Maryland To Explore all our courses, visit our page below. Machine Learning Courses You can also check IIT Delhi’s Executive PG Programme in Machine Learning & AI in association with upGrad. IIT Delhi is one of the most prestigious institutions in India. With more the 500+ In-house faculty members which are the best in the subject matters. Some of The Best Companies That Offer the Best Artificial Intelligence Salary in India  We have amazing news for you if you’re one of the many people seeking a brand-new, interesting career. Many A.I. businesses are eager to add artificial intelligence placements to their staff since the field is now in great demand. The top ai placement employers who give artificial intelligence jobs salary in india are listed below. Accenture This worldwide corporation with an Irish foundation, Accenture, offers its clients consulting services. In the current business environment, growth is no longer just about creating value; it is now essential for a company’s existence. The secret to doing this is to use consumer insight to create experiences quickly and broadly across diverse businesses. Accenture provides a variety of services, including operations, and in order to meet these demands, it is now employing analysts in the field of artificial intelligence. Innovation is one of the artificial intelligence firms hiring in India. Accenture offers a great AI engineer salary in India which is around ₹7.9 lakhs in India.  Offering this hefty artificial intelligence salary per month in India, Accenture aims to attract top talent. This compensation package reflects the company’s commitment to acquiring and retaining skilled AI professionals. However, in AI careers, salary ranges can vary based on several factors. These include an individual’s depth of experience, educational qualifications, the scope of their expertise, the geographical location of employment, the industry focus, project complexities, certifications, and specialized skills in AI tools and frameworks. The competitive salary offered by Accenture in India signifies the company’s recognition of the value and expertise that AI professionals bring to the table in shaping innovative solutions and driving business growth in the evolving technological landscape. Google Google is a global technology corporation based in the United States that specialises in Internet-related services and goods, including online advertising and cloud computing technologies, a search engine, and all other firms. The cutting-edge technologies created by Google’s software engineers transform, engage, and discover information. Google, India, has been on the lookout for software and machine learning developers and offers a great AI developer salary, offering an average ₹6 lakhs per annum.  The competitive AI developer salary in India offered by Google proves the company’s dedication to fostering a conducive environment for innovation and technological advancement. By investing in top-notch talent in AI and machine learning, Google solidifies its position as a global leader in technology, aiming to drive the boundaries of what’s achievable in the digital world while creating impactful solutions for users worldwide. In-demand Machine Learning Skills Artificial Intelligence Courses Tableau Courses NLP Courses Deep Learning Courses Microsoft Microsoft Corporation is a global tech company based in the United States that makes consumer devices, computer software, and associated services. The Azure Automated ML employees need an expert engineer to help with computer vision algorithms. The business is filling a sizable number of cloud solution architect positions in the field of A.I. The business offers you the chance to collaborate with the Azure team to develop software enabling anybody to construct machine learning models by employing AI platforms for building, running, and monitoring machine learning processes. Additionally, Microsoft is among the AI firms always hiring in India. Microsoft offers a great artificial intelligence engineer salary which can range between ₹7.2- 9.2 lakhs per annum. This hefty salary of artificial intelligence engineer in India per month underscores its dedication to nurturing a work environment that fosters creativity, learning, and excellence in artificial intelligence. Beyond salary offerings, Microsoft’s focus on AI development aligns with its broader commitment to advancing technology and reshaping industries. The company’s initiatives aim to recruit top-tier AI talent and provide opportunities for professionals to work on groundbreaking projects that push the boundaries of what’s possible in the AI landscape. Apple Apple is a global American business that specializes in computer software, internet services, and consumer devices. In terms of innovation and revenue, it is the biggest technological corporation in the world. Apple is among the organizations using artificial intelligence that is always looking for roles such as machine learning engineer, A.I. annotation team head, and many others. Apple offers a great AI engineer salary with an average of ₹5 lakhs per annum in India.  Artificial intelligence significantly enhances Apple’s products and services, allowing the company to deliver innovative solutions and improved user experiences. From optimizing user interactions with devices to refining the capabilities of software applications, AI is woven into Apple’s ecosystem, contributing to the company’s reputation for delivering state-of-the-art technology. Apple maintains a robust presence in the job market by offering competitive salaries for AI engineers. While the salary of AI engineer in India might be slightly lower compared to some other companies, working at Apple provides an opportunity to shape the future of technology and impact millions of users worldwide through AI-driven advancements in their products and services. The company consistently seeks talented individuals for diverse AI-related roles, such as machine learning engineers, heads of A.I. annotation teams, and various other positions. These roles are pivotal in advancing Apple’s AI initiatives, encompassing a wide spectrum of tasks from developing machine learning algorithms to overseeing annotation teams responsible for training AI models. PepsiCo The biggest beverage company of Pepsi-Cola drinks in the world is Pepsi Bottling Group Inc. The company constantly hires a senior Machine Learning engineer and A.I. associate manager. The field of artificial intelligence contains a lot of open positions. PepsiCo offers a great Artificial Intelligence engineering salary.  In these roles, individuals work with machine learning and artificial intelligence to develop new strategies, improve processes, and create innovative solutions. The company values these professionals for their ability to harness data and technology to enhance Pepsi’s products and operations. Pepsico is also one of the most prominent companies that significantly contribute to the AI placement in India, offering opportunities for individuals to contribute to technological advancements and make an impact in the field of artificial intelligence within the beverage industry. Why Is Career in Artificial Intelligence Trending? Several important factors contribute to the growing popularity of artificial intelligence (AI) jobs. First, artificial intelligence (AI) is quickly revolutionising businesses by allowing automation, optimisation, and enhancement of efficiency. AI professionals are in high demand to develop and execute cutting-edge technology as firms seek new solutions. Second, the potential for AI to revolutionise industries such as healthcare, banking, and manufacturing is fuelling its appeal. The prospect of developing intelligent systems capable of analysing massive datasets, making predictions, and learning from experience has attracted companies worldwide. Furthermore, increased data availability and advances in machine learning algorithms have made AI applications more accessible, driving more significant usage across several sectors. Finally, the appeal of being at the cutting edge of technical advancement and contributing to game-changing discoveries has attracted a varied talent pool to AI employment. The shift towards AI-related vocations is predicted to continue as AI impacts sectors. Careers in Artificial Intelligence Much like the roles of data analysts, statisticians, and business analysts, AI stands as a swiftly expanding, high-demand field offering appealing career prospects. These fields exhibit an overlapping relationship in several aspects, akin to a Venn diagram. While exploring the requisite skills for each, you’ll notice that various facets of artificial intelligence intersect. Attaining the essential amalgamation of skills demands education and training, providing individuals with an advantageous edge to forge a career with notable growth potential and get highest artificial intelligence salary per month. Computer Science & Intelligence Research The realms of computer science and AI research are dedicated to propelling the evolution of AI technology, while the other vocations listed here centre around the practical implementation of AI. A computer scientist plays a pivotal role in propelling technological progress. The duties of computer scientists exhibit diversity and may encompass the following: Administering data systems linked to AI Innovating novel software Supervising the crucial facets of ethics and accountability integral to the creation of AI tools Education: AI research in computer science typically demands a strong foundation in applied statistics and mathematical theory. To initiate this journey, an undergraduate computer science degree is a solid starting point. However, numerous AI research positions may necessitate a master’s or PhD in computer science.  Data Analytics Data stands as the foundation of AI and machine learning operations, and within the expansive realm of data science, skills specific to data analysis hold the utmost importance in AI processes. Proficiency as a data analyst necessitates a robust grasp of data intricacies, encompassing: Effective management Thorough analysis Efficient storage of extensive datasets Moreover, the ability to articulate discoveries and leverage visualisation tools emerges as equally crucial for data analysts. Education: Contemplate pursuing a master’s degree in fields such as analytics, computer science, or data science to position yourself for roles in analytics intertwined with AI and machine learning.  Natural Language Processing As its name implies, natural language processing (NLP) pertains to utilising machine learning with language, offering an array of applications for this competency. Roles within this domain exhibit diversity, typically leveraging a sophisticated comprehension of language and technology to devise systems enabling effective human-computer communication. Instances of natural language processing and AI encompass: Chatbots Virtual assistants Predictive texting The demand for this skillset is substantial, with a promising job outlook anticipated for the foreseeable future along with the highest artificial intelligence salary per month. Education: Contemplate pursuing a bachelor’s or master’s degree in computer science, focusing on specialising in natural language processing or computer linguistics.  Software Engineering The field of AI showcases substantial demand for conventional computer science positions such as software engineering and software development. Software engineers are pivotal in conceptualising and crafting programs or systems within artificial intelligence tools, leveraging machine learning to execute diverse tasks. Education: To forge a prosperous path in software engineering for AI, individuals should contemplate pursuing a master’s degree in computer science from programs specialising in artificial intelligence. What You Can Do to Get the Best Job in Artificial Intelligence? Landing a great job with a high ai salary in india is not an easy task. The following steps will help you achieve those goals –  Conduct thorough research – This is the first and most important step when looking for a job in AI. Research starts at an early stage of life when you have to tailor your education according to the field of AI you would like to enter. This will help you research companies that will give great AI engineering salary.  Develop the required skills – When you work in a field like A.I., you are expected to have the skills required to become a pro. These skills can be built via online courses or through experiences. Spend your time honing your technical skills so that you become one of the best in your field. With this help, you can get a great AI engineering salary.  Complete the required educational qualifications – This is, again, a very important step. The education for every job profile is different from the other. Understand the degree type required for your job and get the desired certifications. This will help you land a great job as well as a great Artificial Intelligence salary.  Wrapping Up Due to the ever-increasing demand, artificial intelligence salary in India is always burgeoning. We hope you liked our article on artificial intelligence salary in India. These numbers above are not set in stone. The real influencer of your salary is the skills you have,  the mastery you have attained over them, and how quickly you grow and make the company grow as well. Artificial intelligence salary is depended on so many factors mentioned in this article. Artificial intelligence salary in India is one of the highest packages offered in the country. How much you are worth will depend on your skills, experience, and the city where you are based. As Artificial Intelligence continues to make its way through Indian industries, the demand for skilled AI professionals will increase in the near future. As of now, the shortage of the right talent in the field only means that employers are ready to shell out very high compensation to acquire qualified professionals with AI skills. So, if you aspire to build a promising career in Data Science and AI, the time is now! upGrad offers various AI courses to learn Machine Learning with good artificial intelligence and data science salary. Popular AI and ML Blogs & Free Courses IoT: History, Present & Future Machine Learning Tutorial: Learn ML What is Algorithm? Simple & Easy Robotics Engineer Salary in India : All Roles A Day in the Life of a Machine Learning Engineer: What do they do? What is IoT (Internet of Things) Permutation vs Combination: Difference between Permutation and Combination Top 7 Trends in Artificial Intelligence & Machine Learning Machine Learning with R: Everything You Need to Know AI & ML Free Courses Introduction to NLP Fundamentals of Deep Learning of Neural Networks Linear Regression: Step by Step Guide Artificial Intelligence in the Real World Introduction to Tableau Case Study using Python, SQL and Tableau Refer to your Network! If you know someone, who would benefit from our specially curated programs? Kindly fill in this form to register their interest. We would assist them to upskill with the right program, and get them a highest possible pre-applied fee-waiver up to ₹70,000/- You earn referral incentives worth up to ₹80,000 for each friend that signs up for a paid programme! Read more about our referral incentives here.

by upGrad

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18 Feb 2024

Best Software Development Courses for Beginners [Trending Now]
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33410

Best Software Development Courses for Beginners [Trending Now]

The Indian IT sector is one of the fastest-growing and biggest employers in the country. Over the years, the IT industry has emerged to be a pivotal contributor to the nation’s overall GDP, thereby becoming an integral part of the Indian economy. According to Statista, in 2017, the IT industry employed over 4 million people while offering employment opportunities to another 10 million people indirectly. Furthermore, the industry generated around $180 million of annual average revenue in FY 2019.  With Indian-based IT companies like TCS, Infosys, and Wipro scaling rapidly to keep pace with the global IT leaders such as IBM, Oracle, and Microsoft, the demand for talented professionals in the field is increasing as we speak.  One-Of-Its-Kind Program That Creates Skilled Software Developers. Apply Now! To be true, there has always been a massive demand for talented and skilled IT professionals in India, but right now as technology continues to evolve rapidly, this demand is skyrocketing. More and more IT companies are creating a demand for professionals with additional qualifications, other than their academic skills. This is why today, youngsters are opting for software development courses, certifications, and training programs to get an edge in the competitive pool. What is a Software Development Course? A software development courses for beginners or software engineer degree is an educational program specially designed to equip individuals with the skills and knowledge needed to create, design, and maintain software applications. This comprehensive training covers programming languages, development frameworks, and methodologies essential for building robust and efficient software.    Moreover, participants engage in hands-on projects, gaining practical experience to apply theoretical concepts. The easy software courses typically delves into software architecture, database management, and the software development life cycle. Instructors, often industry professionals, guide students through coding practices, problem-solving techniques, and collaborative development processes. Whether for beginners or experienced professionals, software developer courses list foster a deep understanding of software development principles, preparing individuals for successful careers in a dynamic and ever-evolving tech landscape. Importance of Doing a Software Development Course Foundation of Technical Expertise A software development courses for beginners lays the foundation for acquiring essential technical skills. Moreover, it provides a structured learning environment where individuals delve into programming languages, development frameworks, and software design principles. This foundation is crucial and serves as the bedrock for a successful career in the dynamic and ever-evolving field of software development. Practical Application One of the key benefits lies in the emphasis on practical application. This means, these easiest software course often include hands-on projects helping students to translate theoretical knowledge into tangible solutions. This is actually the bridge between theory and real-world challenges and is instrumental in honing problem-solving skills and cultivating the ability to create functional and efficient software solutions. Stay Current in a Rapidly Evolving Industry In the world of technology, staying up-to-date is imperative. A best and easiest software course to become a software developer ensures that individuals very well know about the latest programming languages, tools, and methodologies. This ongoing education equips professionals to navigate and harness technological advancements, fostering adaptability in an industry characterized by constant innovation. Collaboration and Teamwork Software development is rarely a solitary endeavour. The best courses to become a software developer often emphasize collaborative projects, mirroring real-world scenarios where teamwork is crucial. Effective communication, collaboration tools, and understanding diverse perspectives become integral components, preparing individuals to seamlessly integrate into professional development teams. Career Opportunities Completing an easy software courses significantly enhances career opportunities. Employers actively seek individuals with a solid educational background in software development. This credential not only opens doors to entry-level positions but positions individuals for career advancement, enabling them to take on roles with greater responsibility and higher remuneration. Innovation and Creativity Beyond technical proficiency, a courses for software developer or computer software courses nurtures innovation and creativity. Individuals learn to approach challenges with inventive solutions, pushing the boundaries of what’s possible. This creative mindset is invaluable, especially in an industry where groundbreaking ideas often emerge from those with the ability to think outside traditional frameworks. Essential Skills Students will Acquire from a Software Development Course. Embarking on a journey into the insight of computer software courses offers an array of opportunities for tech enthusiasts. By honing specific skills, one can position themselves for success in the ever-evolving tech industry. Programming Languages Proficiency Mastering a diverse set of programming languages is foundational in software development. A courses for software developer is instrumental in equipping individuals with the skills needed for creative expression in tech. Online video courses, in particular, played a crucial role in my tech career, empowering me to efficiently build applications using languages like JavaScript, PHP, and Python. Software Design Principles Understanding software design principles is pivotal for crafting robust and scalable applications. Through industry-expert-led easy IT courses, I delved into their thinking patterns, enabling me to develop applications centred on various design principles. These courses provide insights into architecting software systems effectively, ensuring alignment with industry standards and user requirements. Problem-solving and Logical Thinking Problem-solving is a cornerstone skill in the tech realm. Courses for software developer that emphasize real-world problem-solving scenarios and debugging techniques have significantly contributed to my career growth. Embracing a courses for software developer facilitates the development of logical thinking, enabling individuals to tackle complex challenges efficiently and become valuable assets to any project.   Version Control and Collaboration In the collaborative development landscape, version control is indispensable. Reputable and easy IT courses place significant emphasis on tools like GitHub, fostering discipline in committing codes online as projects evolve. These courses for software developer introduce vital tools such as Git, enabling efficient teamwork, effective code management, and seamless contribution to collaborative projects. Web Development Easy software courses often encompass web development skills, serving as an accessible entry point into the tech world. This knowledge, easily acquired and requiring less machine power, opened doors to opportunities in front-end and back-end development. It empowered me to create dynamic and interactive web applications, broadening my skill set and career prospects. Best software development courses for beginners in India:    1. Mobile App Development Thanks to the ever-increasing proliferation of mobile devices (smartphones) in India, the mobile app market is booming. Companies across all sectors of the industry are switching to mobile apps to reach a broader audience base. Be it Android or iOS, there’s plenty of scope for freshers in this domain. While the choice of a programming language depends on the OS and mobile platform one is working on, some of the popular languages for mobile app development are Java, C, C++, and C#.  In the beginning of your career, you will be an App Developer, but when you have gained ample work experience, you can upgrade to the position of a Project Manager. Courses like Certified Android App Developer and Certified iOS App Developer are excellent options. Our Learners also read: Highest paying tech jobs!    2. Web Programming/Web Design A web programming/web design course focuses on teaching you the fundamentals of designing, development, production, assessment of web applications. It also teaches how to deliver as per the client’s needs and expectations. Usually, Web Developers have to work with different programming languages and operating systems. Hence, they must be comfortable in working with the various OS (Linux, Windows, iOS) and also well-versed with at least two or three trending programming languages (Java, Python, C, C++, Ruby, SQL, PHP, etc.). While a bachelor’s degree is enough for entry-level job roles, higher-level positions demand a master’s degree.   Web designing is an excellent opportunity for individuals who want to work independently. You can either work as an employee of a company or offer your services as a freelancer. Either way, there are good prospects in this field.     3. Artificial Intelligence (AI) and Machine Learning (ML)  After AI and ML creating a wave of lasting impact on the industry, and more importantly, our lives, do we even need to stress the importance of AI and ML courses? Recent developments in the technology field have made AI and ML a staple of IT, tech, and business sectors. As more companies join the AI/ML bandwagon and adopt these disruptive technologies within their infrastructure, the demand for skilled AI and ML professionals is peaking. Online courses on AI & ML from a renowned university can improve the chance of landing on a hot job. To take up AI and ML courses, you must have a strong Mathematical, Statistical, and Analytical foundation along with sharp programming skills. As for educational requirements, a bachelor’s degree in Mathematics/Engineering/Statistics/Computer Science will do for entry-level positions. Senior-level roles demand a master’s degree in the same/similar fields along with a few years of work experience.    4. Data Analytics The advent of Big Data has made Data Analytics a forerunner in every industry, be it healthcare, BFSI, logistics, or IT. Today, companies across the different sectors of the industry are leveraging the power of data, thereby making Data Analytics skills a must-have for any candidate looking to work in Big Data.  Candidates with a bachelor’s degree in Mathematics/Statistics/Economics/Computer Science can bag entry-level Data Analytics jobs, usually, Junior Data Analyst with the help of Big Data Analytics courses. Apart from this, one needs to be well-versed in programming languages like R, Python, C++, PHP, Java, Ruby, MATLAB, etc. Also, it is beneficial if you are familiar with the tools of data management and manipulation like Hive, SQL, SAS, Oracle, Tableau, etc.    5. DevOps Of late, the popularity of Agile methodology has given a significant boost to the DevOps concept as well. DevOps seeks to bridge the gap between the development and operations teams to facilitate speedy and seamless delivery of software products/services.  Since the DevOps approach is a hot trend in the software industry now, it is the right time to acquire DevOps skills. There’s a huge demand for DevOps Engineers in the industry. To be a DevOps Engineer, you must have a bachelor’s degree in Computer Science or any related field. Once you have the necessary DevOps skills, you can market yourself to the right companies. Rest assured, you will not only enjoy your job but also get high salary packages for it.     6. UI/UX Framework Development UI denotes User Interface Design, and UX refers to User Experience Design. Thus, mastering these two domains allows you to develop a well-structured, well-designed, intuitive, and user-friendly interface for apps. From graphical design to user interaction and feedback, UI/UX Developers are responsible for everything in between. Owing to the rapidly expanding app/website market, the demand for skilled UI/UX Designers/Developers/Architects is increasing by the day in India.   For UI/UX framework development, you must be proficient in coding and also possess an in-depth understanding of HTML 5, CSS 3, JavaScript, and Bootstrap, to name a few. After mastering UI/UX development, you can become an Assistant UI/UX Programmer/Designer, and then move on to senior-level roles like Principal UI/UX Programmer/Designer.     7. Database Administrator (DBA) Database Administration is one of the core procedures in the software field of computing. It requires a skilled professional running the operation and keeping company databases organized and maintained. Thus, companies are always on the lookout for talented DBA professionals who can handle company databases. A Database Administrator is responsible for the presentation, integrity, management, and security of databases. While the general prerequisite for the role is a bachelor’s degree in Computer Science, a bachelor’s degree in other related fields (such as Information Systems) will also do. However, many entry-level jobs nowadays require only an associate degree in Computer Science. The job role of a DBA is perfect for freshers who have some experience in programming and data analysis.    8. Software Quality Testing (SQT) Automation Software Quality Testing (SQT) Automation refers to the technique of leveraging automated testing tools to implement pre-scripted tests on a software model before diving into the production stage. SQT Automation helps make the software testing process seamless and secure. It helps improve the efficacy and efficiency of the software testing process. Thus, an SQT Automation course helps you to master the usage of automated testing tools and gain deeper knowledge about the environments they are used in.  Apart from having a bachelor’s degree in Computer Science/Engineering or any other related field, you must be well-versed with different automation testing tools like JMeter, Selenium, Appium, Ranorex, etc.    9. Cybersecurity The rise in the incidents of cybercrimes and threats have made Cybersecurity a crucial front for enterprises, both big and small. Any company can become a victim of cyber threats and security breaches. Hence, it pays off to have a strong and robust Cybersecurity infrastructure in place to help prevent and mitigate such risks.  Since Cybersecurity is a highly complex and intricate domain, most job profiles require a minimum of a bachelor’s degree either in Cybersecurity or a related field like Information Technology/Information Security/Computer Science. After this, you can take up Cybersecurity courses or certifications for beginners like the MTA Security Fundamentals, CompTIA Security+, and (ISC)2 Systems Security Certified Practitioner (SSCP), to name a few. Check out Advanced Certificate Programme in Cyber Security from IIIT Bangalore    10. Augmented Analytics Augmented Analytics focuses on automating data insights through a combination of ML, NLP, and text minimizing and transforming those insights into Business Intelligence (BI). In other words, Augmented Analytics helps in finding valuable insights from large datasets and simplifying the insights in terms humans can understand. This allows businesses to use such insights for data-driven decision making. Mastering the domain of Augmented Analytics, would thus, make you a valuable asset in a company. By uncovering the patterns hidden within data and converting that into actionable fragments of information, you can help companies to unlock tremendous business potential. A bachelor’s degree in Software Engineering/Mathematics/Design or Data Science (if available) is good to go for entry-level job roles in Augmented Analytics. Tips to Crack a Software Development Certification Here are key tips that will help you crack full stack web developer course without any hassle: – Thoroughly Understand the Course Content Begin by meticulously understanding the easy software courses content outlined in the Software Development Certification. This foundational step involves delving into the details of programming languages, software design principles, and problem-solving techniques. This comprehensive grasp of the curriculum lays the groundwork for a strategic and effective study plan. Active Participation in Online Video Courses Engage actively with full stack web developer course, a dynamic learning resource highlighted in the provided link. These software engineer classes online offer a practical and immersive approach, providing insights from industry experts. Actively participating in these sessions enhances your understanding of key concepts, facilitating a more profound grasp of software development principles. Practice Coding Regularly Coding is the essence of software development. Regular and consistent practice is vital to reinforce your theoretical knowledge. Utilize coding exercises and projects recommended in the software engineer online course to apply your learning. This practical application not only hones your coding skills but also reinforces your understanding of how to implement various concepts in real-world scenarios. Leverage Collaborative Learning Opportunities Take advantage of collaborative learning opportunities emphasized in the Software Development Certification journey. Engage with fellow learners, participate in forums, and work on group projects if available. This interactive knowledge-sharing fosters a collaborative mindset exposes you to diverse perspectives, and reinforces your ability to work effectively in a team—a crucial skill in the software development realm. Embrace Version Control Tools Develop proficiency in version control tools, such as Git and GitHub, as recommended in the provided link. These tools play a pivotal role in collaborative software development. Embracing them not only aligns with industry best practices but also enhances your ability to manage code changes systematically, a skill frequently evaluated in certification assessments. Seek Additional Resources for a Deeper Understanding Supplement your software engineer online course or software engineer bachelor degree materials with all the additional resources to deepen your understanding. For that, explore reputable books, articles, and coding challenges related to the topics covered. However, this proactive approach not only broadens your knowledge base but also demonstrates a commitment to continuous learning—an attribute highly valued in the software development industry. Cracking or getting a software engineer bachelor degree and software engineering masters requires a strategic and comprehensive approach. By thoroughly understanding the course content, actively participating in software engineer classes online, practising coding regularly, leveraging collaborative learning opportunities, embracing version control tools, and seeking additional resources, you can easily position yourself for success in acquiring this valuable credential and advancing your career in software development. By now, you must have understood one thing – there is no shortage of scope and courses for a budding career in IT, and the tech industry in general. With so many certification courses and training programs designed specifically to groom freshers, you’ll be spoilt for choice! However, if you have a clear vision of where and in which domain you see yourself in the future, making a choice will be easier.

by upGrad

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18 Feb 2024

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