- Imagine a company notices low sales in some products.
- The company wants to understand why?.
- Some experts study data (sales, customer feedbacks and market trends) to find the reasons and suggest solutions
- These professionals are called Data Analysts.
- 👉 In simple words: Data Analysts study data and numbers to help companies make better decisions.
Data Analyst
What Do They Do?
🎓 How to Become a Data Analyst
The courses to pursue this career are given below :
These Data Analytics programs help students learn about statistics, business analysis, computer tools, data visualization, and decision-making using data.
B.Sc. / B.Sc. (Hons.) in Data Science / Analytics
Duration: 3 – 4 Years
Eligibility: 10+2 Pass (Science or Commerce stream with Mathematics)
Entrance Exam: CUET UG / State or University Entrance Exams
Bachelor of Computer Applications (BCA) in Data Science
Duration: 3 Years
Eligibility: 10+2 Pass (Any stream; Mathematics or Computer Science preferred)
Entrance Exam: CUET UG / Merit-Based Admission
B.A. (Hons.) in Economics / Statistics
Duration: 3 – 4 Years
Eligibility: 10+2 Pass (Any stream with strong Mathematics foundation)
Entrance Exam: CUET UG / University Entrance Exams
B.Tech in Computer Science (Data Analytics)
Duration: 4 Years
Eligibility: 10+2 Pass (Physics, Chemistry, and Mathematics)
Entrance Exam: JEE Main / State-Level Engineering Entrance Exams
📝 Exam Details
(Click on the exam name to see full details)
CUET UG JEE Main University Entrance ExamNote: Data Analytics programs include subjects like statistics, data visualization, programming, databases, business intelligence, and problem-solving using data.
These advanced Data Analytics programs help students specialize in big data, statistics, machine learning, business intelligence, and data-driven decision making.
M.Sc. in Data Analytics / Data Science
Duration: 2 Years
Eligibility: Bachelor’s degree in Computer Science, Statistics, Mathematics, or Engineering
Entrance Exam: CUET PG / IIT JAM / University Entrance Exams
Master of Computer Applications (MCA)in Data Science
Duration: 2 Years
Eligibility: BCA or Bachelor’s Degree in Computer Science / Related Fields
Entrance Exam: NIMCET / CUET PG / State Exams
M.Sc. in Statistics
Duration: 2 Years
Eligibility: Graduation with Statistics, Mathematics, or Economics as a major subject
Entrance Exam: CUET PG / IIT JAM / University Entrance Exams
M.B.A. in Data Sciences and Data Analytics
Duration: 2 Years
Eligibility: Graduation from a recognized university with a minimum of 50% marks
Entrance Exam: SNAP / University Entrance Exam
M.Tech. in Data Analytics
Duration: 2 Years
Eligibility: Bachelor's degree in Engineering/Technology or equivalent qualification
Entrance Exam: GATE
Post Graduate Diploma in Data Science (PGDDS)
Duration: 1 Year
Eligibility: Graduate in quantitative fields like Engineering, Science, Commerce, or Economics
Entrance Exam: Merit-Based Admission / Personal Interview
📝 Exam Details
(Click on the exam name to see full details)
CUET PG IIT JAM NIMCET SNAP GATE University Entrance Exam Merit Based Admission Personal InterviewNote: Advanced Data Analytics programs include subjects like machine learning, business analytics, artificial intelligence, statistical modeling, and big data technologies.
These online Data Analytics programs help students learn data visualization, statistics, spreadsheets, SQL, dashboards, business intelligence tools, and data-driven decision making.
Google Data Analytics Professional Certificate
Duration: 3 – 6 Months
Eligibility: Open to All
Provider: Coursera
Microsoft Power BI Data Analyst Professional Certificate
Duration: 3 – 5 Months
Eligibility: Open to All
Provider: Microsoft
IBM Data Analyst Professional Certificate
Duration: 4 Months
Eligibility: Open to All
Provider: IBM
Certificate in Mastering Data Analytics with Dashboards
Duration: 150 hours
Eligibility: Open to All
Provider: ASAP Kerala
Certificate in Data Analytics for Finance Professionals
Duration: 12 - 15 hours
Eligibility: Open to All
Provider: ACCA
Note: Most online Data Analytics courses focus on practical projects, dashboard creation, data visualization, spreadsheet analysis, SQL practice, and real-world business case studies instead of written exams.
(Age limits, marks, and admission process may vary depending on the college or state.
Below are some colleges that offer these courses.
These courses are available in many colleges and universities across India. You can choose colleges based on your location, budget, and entrance exams.)
🏛️ Colleges offering these courses in India
(Tap on a college to view details)
After Class 12
Indian Institute of Technology (IIT), Madras Indian Statistical Institute (ISI), Kolkata Presidency University, Bengaluru, Karnataka Shri Ram College of Commerce (SRCC), New Delhi St. Xavier's College, Mumbai Christ University, Bengaluru Symbiosis School of Economics (SSE), Pune Loyola College, Chennai NMIMS Sunandan Divatia School of Science, Mumbai Madras Christian College (MCC), Chennai SRM Institute of Science and Technology (SRMIST), Tamil NaduAfter Graduation
Madras School of Economics (MSE), Chennai CHRIST University, Bengaluru, Karnataka Chandigarh University, Mohali, Punjab Pondicherry University, Puducherry Amity University Online, Noida, Uttar Pradesh Symbiosis Centre for Information Technology (SCIT), Pune, Maharashtra National Institute of Technology (NIT), Tiruchirappalli, Tamil Nadu St.Xavier's College, Kolkata, West BengalImagine you are working as a Data Analyst in a company.
You collect information from websites, apps, surveys, and company records.
You use tools like Excel, SQL, and Power BI to study data.
You find patterns and trends that help companies make decisions.
You create charts, dashboards, and reports for managers and teams.
If solving problems using numbers and data excites you, this career may suit you.
Where do Data Analysts work? (Job Roles + Growth)
Data Analyst work in : Technology companies, Financial Institutions, Consulting firms, Market Research companies, Healthcare Organisations, Retail and e-commerce companies, government organisations and other businesses.
🟢 Beginner Roles
Junior Data Analyst
(After B.Sc. / BCA / Certifications)
Cleans data and tracks business trends.
Research Assistant
(After B.A. / B.Sc. in Economics or Statistics)
Collects data and prepares reports.
Operations Analytics Trainee
(After 12th + Analytics Certificate)
Updates spreadsheets and tracks performance.
🔵 Mid-Level Roles
Senior Data Analyst
(Graduate Degree + Experience)
Builds dashboards and analyzes databases.
Market Research Analyst
(MBA / Master’s in Economics)
Studies customer and market trends.
Financial Data Analyst
(B.Com / Finance Degree)
Analyzes budgets and investment data.
🟣 Advanced Roles
Data Analytics Manager
(5+ Years Experience)
Leads analytics teams and business reporting.
BI Developer
(Advanced Certifications + Experience)
Designs company reporting systems.
Research Consultant
(Ph.D. / Advanced Master’s)
Advises organizations using research data.
Global Opportunities for Data Analysts
Data Analysts can work in finance, healthcare, technology, marketing, and business sectors worldwide.
Many countries hire data professionals to support business decisions and digital growth.
International Technology Companies
Analyze user data, business performance, and digital trends for global tech firms.
Global Banking & Finance Firms
Work on financial reports, investments, fraud detection, and market analysis.
E-Commerce Companies
Study customer behavior, sales performance, and online shopping trends.
Healthcare & Medical Organizations
Analyze healthcare records, patient data, and hospital performance.
International Consulting Firms
Help companies improve business strategies using analytics and reports.
Research & International Universities
Support academic research, surveys, and statistical data projects.
(Click Yes or No for each question)
1. Do you like looking at information (like which videos get more views or likes) and trying to understand why?
2. Have you ever wondered why some products get more offers or bigger discounts?
3. Have you ever wondered why the same type of videos appear again and again?
4. Imagine you are working as a Data Analyst for a company that sells dresses. The company wants to know which products are selling more and which are selling less. You study the sales of all the dresses. You find out which dress is selling more and which are selling less. You share all these findings with the owner of the company. Would you be interested in doing this?
5. Imagine a company notices that its products are not selling. You study the sales information (data), compare it with past few months. You find out why the sales have decreased. You help the company to understand the situation better. Does this excites you?