Bangalore is referred to as the IT hub of India. It’s not surprising that Data analysts working with data can get plenty of opportunities in this city. The city is home to numerous businesses, especially in technology, finance, digital marketing, and advertising fields.
    Bangalore’s GDP is estimated to grow at a rate of 8.5% till 2035, thus ensuring that there will be plenty of opportunities for Data analysts in various industries. It is a great idea to pursue a Data Analytics course in Bangalore while working in this city or looking for Data analyst jobs. Karnataka is second in rank among cities with the highest number of startups by boasting of a massive number of 1973 startups since 2018, most of which are tech companies who deal with data on a daily basis.
    Bangalore boasts of an incredible number of 67000 IT firms, with 12000 of them being functional. The city houses companies such as Cisco, Oracle, Amazon, Microsoft, Hewlett Packard, Dell, Google, Goldman Sachs, Wipro, HCL, Infosys, Cognizant, Deloitte, Ernst & Young, SAP and many more. These companies often have vacancies for skilled Data analysts. Data analytics courses can help budding analysts acquire MapReduce, Machine Learning, Big Data, Apache Hadoop, NoSQL, MongoDB, Predictive analytics skills. Plus, candidates also learn how to use the trending data analytics tools to help companies use data effectively.
    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.
    • Microsoft Excel
    • Microsoft Power Bi
    • R or Python
    • Mathematical and Statistical skills
    • Machine Learning (Additional)
    • 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.


    Get free Data counselling
    Request Callback

    Programming Languages and Tools Covered


    Learn from India’s leading Data Science faculty and industry leaders

    Companies compensate their Data analysts very well, which can be confirmed by the 1221 Data analyst salaries submitted to Glassdoor. According to Glassdoor, freshers earn an average salary of Rs. 5,97,499 annually, while senior analysts can earn an average base pay of Rs. 9,63,864 per annum. Meanwhile, Data specialists with varied experiences earn an annual median remuneration of Rs. 7,53,688.
    Payscale reports similar numbers with an average Data analyst earning Rs. 5,17,827 annually in Bangalore. Experienced analysts can easily earn desirable packages that go up to Rs. 10,00,000 per annum. Let us check the annual median base pay of analysts across some popular companies in Bangalore.
    • IBM: Rs. 6,00,000
    • Amazon: Rs. 6,73,535
    • Accenture: Rs. 6,13,245
    • HSBC Holdings: Rs. 8,18,351
    • Capgemini: Rs. 4,84,851
    • Myntra: Rs. 9,71,054
    • Infosys: Rs. 5,48,064
    • Flipkart: Rs. 6,81,598
    • Indegene: Rs. 8,00,000
    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

    Benefits with upGrad

    Strong hand-holding with dedicated support to help you master Data Science

    Regular 1-on-1 interaction with Industry Experts

    Regular 1-on-1 interaction with Industry Experts
    • Discussions on career growth and industry expectations
    • Feedback on project work and assignments

    Dedicated upGrad Mentors

    Dedicated upGrad Mentors
    • Student Success Mentors to resolve on-academic queries for smooth learning experience
    • Career mentor to track application targets, coach on profile building & monitor your transition journey

    Doubt Resolution on Q&A Forums & WhatsApp Groups

    Doubt Resolution on Q&A Forums & WhatsApp Groups
    • Timely doubt resolution by qualified teachers
    • Regular live Q&A sessions with experts

    Networking with Industry Experts & Peers

    Networking with Industry Experts & Peers
    • Live sessions by industry experts on relevant topics
    • Interaction with experts and peers in online and offline events translating into new job opportunities

    Job Placement Assistance

    Job Placement Assistance
    • Personalised resume building exercise
    • Mock interviews with our hiring experts
    • Job Interviews with 300+ hiring partners

    Our Hiring Partners

    Opening the doors to the best in the industry such as:

    Over 500 Careers Transformed

    Data Science Articles

    Find the latest and informative post on Data Science. Keep yourself updated, know the current trends in Data Science industry and use cases for data viz and data storytelling.

    Student Reviews

    Frequently Asked Questions

    Program Curriculum & Learning Experience

    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.