Compare 2 Data Science courses from top providers — filter by price, level, provider & certificate.
2 Data Science courses that teach R — filtered to the courses where it is actually part of the syllabus, not just a mention.
This filter returns courses that centre R as the primary programming language. It excludes courses that treat R as a secondary tool or focus on Python. If you want a broader data-science toolkit that includes Python, open the parent hub instead.
| Course | Provider | Level | Duration | Certificate |
|---|---|---|---|---|
| Google Data Analytics Professional Certificate | Coursera | Beginner | 6 months | Yes |
| Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R | Udemy | All Levels | 43 hours | Yes |
Neither course is free. Both carry a certificate. If you need a free option, the sibling facet Free Data Science Courses lists alternatives that do not charge a fee.
If you are already comfortable with R and want to specialise, the Advanced Data Science Courses facet skips introductory material and moves straight to modelling techniques.
Go back to the Data Science courses hub to explore other programming languages.
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 | |
|---|---|---|---|---|---|---|
| Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R |  Udemy |
4.5★ | ₹509 | 43 hours | Cheapest paid option (₹509) | View ↗ |
| Google Data Analytics Professional Certificate |  Coursera |
4.8★ | Check price | 6 months | Highest rated (4.8★ from 182.9K reviews) | View ↗ |
Udemy VerifiedCoursera VerifiedFor 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.
