Compare 1 Data Science course from top providers — filter by price, level, provider & certificate.
All 1 Data Science courses on freeCodeCamp, compared by rating, level and price.
This filter gets you only freeCodeCamp courses, which are all free and beginner-level. Free Data Science with Python teaches Python for analysis in 300 hours. JavaScript Algorithms and Data Structures covers core programming in the same time. Both offer certificates and have ratings of 4.7 from tens of thousands of Indian learners.
| Course | Level | Duration | Certificate |
|---|---|---|---|
| Free Data Science with Python | Beginner | 300 hours | Yes |
| JavaScript Algorithms and Data Structures | Beginner | 300 hours | Yes |
This filter is the wrong call for anyone who needs placement support or advanced topics. Open Data Science Courses with Placement Support instead, or explore Data Science Courses for Beginners if you are just starting. Free Data Science Courses is the sibling facet to browse other free options.
Back to the parent hub: Data Science courses.
Related: Free Data Science Courses with Certificate.
Advanced learners can check Advanced Data Science Courses.
Data Science Courses on freeCodeCamp are entirely free and designed for beginners. The constraint of choosing freeCodeCamp limits options to two courses, but every learner gets a certificate and can study English material at their own pace. This trade-off means no cost, but fewer choices than paid platforms.
This filter gets you only freeCodeCamp courses, which are all free and beginner-level. Free Data Science with Python teaches Python for analysis in 300 hours. JavaScript Algorithms and Data Structures covers core programming in the same time. Both offer certificates and have ratings of 4.7 from tens of thousands of Indian learners.
| Course | Level | Duration | Certificate |
|---|---|---|---|
| Free Data Science with Python | Beginner | 300 hours | Yes |
| JavaScript Algorithms and Data Structures | Beginner | 300 hours | Yes |
This filter is the wrong call for anyone who needs placement support or advanced topics. Open Data Science Courses with Placement Support instead, or explore Data Science Courses for Beginners if you are just starting. Free Data Science Courses is the sibling facet to browse other free options.
Back to the parent hub: Data Science courses.
Related: Free Data Science Courses with Certificate.
Advanced learners can check Advanced Data Science Courses.
Data Science Courses on freeCodeCamp are entirely free and designed for beginners. The constraint of choosing freeCodeCamp limits options to two courses, but every learner gets a certificate and can study English material at their own pace. This trade-off means no cost, but fewer choices than paid platforms.
This filter gets you only freeCodeCamp courses, which are all free and beginner-level. Free Data Science with Python teaches Python for analysis in 300 hours. JavaScript Algorithms and Data Structures covers core programming in the same time. Both offer certificates and have ratings of 4.7 from tens of thousands of Indian learners.
| Course | Level | Duration | Certificate |
|---|---|---|---|
| Free Data Science with Python | Beginner | 300 hours | Yes |
| JavaScript Algorithms and Data Structures | Beginner | 300 hours | Yes |
This filter is the wrong call for anyone who needs placement support or advanced topics. Open Data Science Courses with Placement Support instead, or explore Data Science Courses for Beginners if you are just starting. Free Data Science Courses is the sibling facet to browse other free options.
Back to the parent hub: Data Science courses.
Related: Free Data Science Courses with Certificate.
Advanced learners can check Advanced Data Science Courses.
For beginners, IBM Data Science (Coursera) and freeCodeCamp's free Python track are the highest-rated — both start from zero and build to real projects.
Yes. freeCodeCamp, Kaggle and IBM (audit on edX) offer high-quality free data science content. Paid courses add structure, certificates and placement support.
Roughly 4–8 months at 8–10 hours a week to become job-ready, covering Python, statistics, ML and a portfolio project.
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