Overview
    Data analytics allows companies to take advantage of Data and meet business requirements such as predicting trends, forecasting demands, reporting any upcoming market changes and providing insight into the present and future market situation. Data analytics is becoming increasingly popular among both businesses and professionals. From a business perspective, data analytics allows companies to analyse and then optimise their performance alongside cutting costs and decreasing market risks. Analysing and identifying trends and behaviour can help companies improve their products or services and satisfy their customers better.
    The market size for Data analytics grew by an enormous 26.5% to become $45.4 billion in India during FY 2021 from last year’s $35.9 billion. This is the reason, Data analytics is growing in popularity among students and working professionals both. Many different sectors are seeking help from data analysts to help them. In banking sectors, risk analytics is crucial for keeping track of credit score and possible loan defaulters. Companies like Uber depend on data analytics to help them optimise their routes and customer fare. Data analytics can also be used in public sectors to manage energy expenditure.
    It is never too late to become an expert in Data Analytics. Students can start learning Data analytics at undergraduate levels, while working professionals can take up online courses on data analytics. It has led to an increase in the number of individuals from other fields or industries pursuing Data analytics courses to fulfil these job roles. Generally, most professionals pursue Data analytics after 1 or 2 years of work experience. However, there are many Data analytics Postgraduate programmes that one can pursue directly after graduating. It will help to have a bachelor’s degree in statistics, mathematics, IT, computer science or computer applications. This allows easy progress into Data Science and other fields such as Data Engineering. There are many reputed boot camps, online Data analytics courses and degree programmes that can help budding analysts acquire the required foundations and skills to become a Data analyst. However, candidates must first join as an entry-level Data Analyst and work their way up through learning and experience to truly become a Data analytics expert.
    Here are some tools and skills that can help you become an expert in Data analytics.
      SQL
    • Microsoft Excel
    • Microsoft Power Bi
    • R or Python
    • Mathematical and Statistical skills
    • Machine Learning (Additional)
    Also,
    • Find the right crowd with similar goals.
    • Stay updated about projects and opportunities.
    • Find a mentor with incredible industry experience.
    • Get involved in projects and build a portfolio.

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    Notes
    Data analysts in India enjoy great compensation from MNCs, large conglomerates and startups alike. According to over 4000 surveys submitted to Glassdoor, Data analysts across the Indian sub-continent have reported an average salary of Rs. 5,62,500 per annum. Data analysts receive annual packages that are quite desirable, and it only gets better for senior analysts. According to Glassdoor, senior Data analysts in Indian earn an average of Rs. 8,15,595 annually. Glassdoor also estimates that Principal Data analysts in India earn average base salaries of Rs. 30,00,000 and even upwards of Rs. 70,00,000.
    Payscale reports similar numbers based on more than 4500 salaries of Data analysts in India. According to them, on average, Indian Data analysts get paid Rs. 4,38,398 per annum, but 90% of these salaries were above Rs. 9,00,000, with only 10% being lesser than the median salary. Let’s check some of the annual average base salaries of Indian Data analysts across different companies.
    • Accenture: Rs. 5,64,641
    • Cognizant: Rs. 5,43,357
    • Infosys: Rs. 5,33,261
    • Amazon: Rs. 5,24,025
    • Ernst & Young: Rs. 4,42,934
    • Capgemini: Rs. 4,50,000
    Google CEO Sundar Pichai had agreed earlier this year that 50% of all the employees would need upskilling or reskilling by 2025. This is mainly due to the growing need for analytical tasks and the need to work with data across various fields and industries.
    Data Analytics also makes way for more focused analytical processes such as financial or operational analytics that concentrate on specific data and specialised job roles. For instance, financial analytics only focuses on financial data and market data to help companies take advantage of economic factors. On the other hand, operational analytics is involved in comparing real-time performance metrics against organisational requirements. Meanwhile, Marketing analysts study customer behaviour, trends and demand to help companies increase sales or profit. The bottom line - different types of analytical methods help companies understand the varied data elements of a dataset.
    The employment of Data analysts is expected to grow by 11% by 2024 as compared to 2014. Let us check some Data Analytics-focused job roles for future analysts.
    • Business Analyst
    • Operations Analyst
    • Financial Analyst
    • Marketing Analyst
    • Medical analyst
    • Data Miner
    • Database Administrator
    • Data Engineer
    • Data Scientist
    • Data Specialist
    • Business Intelligence Consultant

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    How good is the Data Science Course from IIIT Bangalore?

    upGrad PG Diploma in Data Science Program is in collaboration with IIIT-B. At upGrad we have empowered 12,600+ students in various fields ranging from Machine learning to Data Science to Data Analytics.  More than 500 learners have had a successful transition with 72 LPA as the highest salary. Once the program is over you will have job opportunities in various roles such as Machine Learning Engineer, Data Engineer, Data Scientist, Data Analyst, etc.

    How are placements & career support after PG Diploma in Data Science?

    upGrad arranges hiring drives for our learners from every field, including the Data Vertical. So far, upGrad has empowered 12,600+ students in the field of Data Science. Specifically in the data Science program from IIIT-B, over 500 learners have had a successful career transition with the highest salary of 72 LPA and an average salary hike of 58%. Our students are working with top organisations like KPMG, Huron Consulting Group, Tata Consultancy, Tata Motors, Wipro, Accenture, Time Inc. and many more.

    What are the important features upGrad's Data science program?

    1. Student Mentor Support With the constant support and motivation, studying for the program becomes very easy. They will be available to solve all your non-technical queries.  Peer to Peer Interaction.
    2. Through our interactive and fun-filled basecamps, live sessions, and career-building workshops which are held by industry professions you will get to participate in group activities along with your peers with a similar profile as yours.
    3. 5 Unique Specialisations You can select from 5 specialisations as per your background and career aspirations. You will also get a PG Diploma in Data Science from IIIT-B with a specialisation.  
    4. Dedicated Career Assistance Receive personalised career counseling sessions along with mock interviews with hiring managers. We have more than 300+ hiring partners which can help in enhancing your career.