Compare 3 Data Science courses from top providers — filter by price, level, provider & certificate.
3 Data Science courses that teach NumPy — filtered to the courses where it is actually part of the syllabus, not just a mention.
This filter returns courses that cover NumPy as part of a broader data‑science curriculum. It does not restrict by price, duration, or provider — it only ensures NumPy is taught.
| Course | Level | Duration | Certificate |
|---|---|---|---|
| Complete A.I. & Machine Learning, Data Science Bootcamp | All Levels | 44 hours | Yes |
| Python for Data Science, AI & Development | Beginner | 24h 20m | Yes |
| Free Data Science with Python | Beginner | 300 hours | Yes |
This filter is the wrong call if you need a course that teaches NumPy from scratch without other data‑science tools. Beginners should open Data Science Courses for Beginners instead. Advanced learners can open Advanced Data Science Courses.
Back to Data Science courses or Free Data Science Courses.
Same shortlist as below, side by side — including who runs it and why it stands out.
| Course | Provider | Rating | Price | Duration | Why pick this one | |
|---|---|---|---|---|---|---|
| Complete A.I. & Machine Learning, Data Science Bootcamp | 4.6★ | ₹509 | 44 hours | Cheapest paid option (₹509) | View ↗ | |
| Python for Data Science, AI & Development | 4.6★ | Check price | 24h 20m | Highest rated (4.6★ from 43.9K reviews) | View ↗ | |
| Free Data Science with Python | Free | 300 hours | Free — and still gives a certificate | Start free ↗ |
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.