Compare 25 Data Science courses from top providers — filter by price, level, provider & certificate.
25 Data Science courses that include a shareable certificate — the kind you can put on LinkedIn or a CV.
Choosing Data Science Courses with a Certificate means you get documented proof of your new skills. This can be important for your resume or for showing expertise in specific areas. For instance, the Google Data Analytics Professional Certificate from Coursera is a beginner-level program that takes 6 months to complete and has a 4.8 rating. For those interested in advanced topics, the Deep Learning Specialization, also from Coursera, is an intermediate course with a 4.8 rating and a 3-month duration.
Several free options also provide certificates. For example, HarvardX: Introduction to Data Science with Python on edX is a beginner course lasting 8 weeks and has a 4.3 rating. Another free choice is Data Science Course - Mastering the Fundamentals from Scaler, which takes 8 hours 45 minutes.
| Course Title | Provider | Level | Duration | Rating |
|---|---|---|---|---|
| Google Data Analytics Professional Certificate | Coursera | Beginner | 6 months | 4.8 |
| Deep Learning Specialization | Coursera | Intermediate | 3 months | 4.8 |
| Executive Post Graduate Certificate Programme in Data Science & AI from IIITB | upGrad | Advanced | 12 months | Not published by the provider |
| HarvardX: Introduction to Data Science with Python | edX | Beginner | 8 weeks | 4.3 |
| What is Data Science? | Coursera | Beginner | 11h 53m | 4.7 |
While certificates offer clear benefits, they might not be the main focus for everyone. If you are exploring Data Science purely for personal interest or if you are seeking a full academic degree, the certificate itself may be less critical than the learning content. In such cases, you might want to explore the broader range of Data Science courses without filtering by certificate.
If budget is a primary concern, you could also look at Free Data Science Courses, some of which still offer certificates, but others might not. For those aiming for direct job entry support, consider Data Science Courses with Placement Support.
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 | |
|---|---|---|---|---|---|---|
| The Data Science Course: Complete Data Science Bootcamp 2026 | 4.6★ | ₹509 | 32.5 hours | Quickest to finish (32.5 hours) | View ↗ | |
| Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R | 4.5★ | ₹509 | 43 hours | All Levels · 43 hours · certificate | View ↗ | |
| Complete A.I. & Machine Learning, Data Science Bootcamp | 4.6★ | ₹509 | 44 hours | Most hands-on — 10 projects | View ↗ | |
| Deep Learning Specialization | 4.8★ | Check price | 3 months | For learners past the basics · 3 months | View ↗ | |
| Data Science & AI Advanced Full Course - From Zero to Pro | 4.6★ | ₹489 | 48.5 hours | Cheapest paid option (₹489) | View ↗ | |
| Google Data Analytics Professional Certificate | 4.8★ | Check price | 6 months | Highest rated (4.8★ from 182.9K reviews) | View ↗ |
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.