Compare 2 Data Science courses from top providers — filter by price, level, provider & certificate.
2 free data science courses for beginners, compared side by side.
This filter gets you free courses that assume no prior knowledge. Three courses from the list show the constraint clearly: Getting Started with Python for Data Science from Codecademy (7 hours, 4.6 rating), Data Science Course – Mastering the Fundamentals from Scaler (8 hours 45 minutes, beginner), and HarvardX: Introduction to Data Science with Python on edX (8 weeks, 4.3 rating).
| Course | Level | Duration | Provider | Certificate |
|---|---|---|---|---|
| Getting Started with Python for Data Science | Beginner | 7h | Codecademy | Yes |
| Data Science Course – Mastering the Fundamentals | Beginner | 8h 45m | Scaler | Yes |
| HarvardX: Introduction to Data Science with Python | Beginner | 8 weeks | edX | Yes |
This filter is the wrong call if you want placement support or a university-backed degree; the Data Science Courses with Placement Support facet lists tracks with recruiter access. If you are aiming for a credential that carries weight in hiring, the Free Data Science Courses with Certificate facet may better suit your goal. Otherwise, open the parent hub to browse paid tracks that include mentorship.
Free Data Science Courses is a sibling facet that removes the beginner label; it includes courses that are free but may target intermediate learners.
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 | |
|---|---|---|---|---|---|---|
| Getting Started with Python for Data Science | Codecademy | 4.6★ | Free | 7h | Free — and still gives a certificate | Start free ↗ |
| Data Science Course - Mastering the Fundamentals | Scaler | Free | 8h 45m | Free — certificate included | 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.
