Want to start your career in Data Analytics without spending money on expensive courses? Here are 10 free courses from IBM Cognitive Class that can help you build your skills in Python, SQL, Statistics, Data Science, and Data Visualization.
These courses are suitable for beginners who want to learn data analysis, strengthen their resumes, and earn certificates or digital badges wherever offered.
Free Data Analysis Courses
| No. | Course Name | Certificate / Badge |
|---|---|---|
| 1 | Data Analysis with Python | Digital Badge |
| 2 | Data Science Methodology | No certificate/badge listed |
| 3 | R for Data Science | Certificate |
| 4 | SQL and Relational Databases 101 | Certificate |
| 5 | Statistics 101 | Certificate |
| 6 | Data Science 101 | Certificate |
| 7 | Python for Data Science | No certificate/badge listed |
| 8 | Data Science Tools | Digital Badge |
| 9 | Data Visualization Using Python | Digital Badge |
| 10 | Getting Started with Tableau Online | No certificate/badge listed |
Note: The certificate and badge information above is based on the provided course list. Check each course page for the latest completion requirements and credential availability.
Which Courses Should You Start With?
If you’re a beginner aiming for a Data Analyst role, consider following this learning path:
- Statistics 101 — Learn the fundamentals of statistics.
- Python for Data Science — Understand Python basics for working with data.
- Data Analysis with Python — Practice analyzing and manipulating datasets.
- SQL and Relational Databases 101 — Learn to retrieve and manage data using SQL.
- Data Visualization Using Python — Explore ways to present data through visualizations.
After completing these courses, apply your knowledge by building practical projects using real-world datasets. You can also learn Excel and Power BI to strengthen your Data Analyst portfolio.
Final Thoughts
You don’t always need to spend thousands of rupees to start learning Data Analytics. Free learning resources can help you develop foundational skills and demonstrate your commitment to learning.
Start with one course today, complete it, and put your new skills into practice!
Bookmark this page so you can revisit these resources whenever you need them.