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Data Science Courses on Udemy

Compare 9 Data Science courses from top providers — filter by price, level, provider & certificate.

9Courses
3.9★Avg rating
14Free
≈ ₹2,111–₹2.5LPrice range (converted)

All 9 Data Science courses on Udemy, compared by rating, level and price.

Filtering by the Udemy provider leaves 40 courses, all marked free for Indian learners. Each listing carries a certificate on completion and supports self‑paced study. The table below compares the courses on attributes the provider filter does not control — level, duration, and price — so you can still choose between them.

Course Level Duration Price (₹)
The Data Science Course: Complete Data Science Bootcamp 2026 Beginner Not specified Free
Python for Data Science and Machine Learning Bootcamp Beginner 44 hours Free
Machine Learning A-Z: AI, Python & R All Levels 43 hours ₹599

If you are looking for a course with a clear syllabus structure, the Udemy filter may not be the right call. The platform bundles many topics into single titles without unit breakdowns. Learners who need guided projects or employer‑recognised credentials should open the “Data Science Courses with Certificate” facet instead, which lists programmes with verified certificates and assignment feedback.

Back to the Data Science hub. Free Data Science Courses is a sibling facet that removes the provider filter entirely.

Quick comparison — top 6 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
The Data Science Course: Complete Data Science Bootcamp 2026 Udemy 4.5★ Free Free — certificate included
Data Science & Machine Learning Bootcamp Udemy 4.7★ Free 44 hours Highest rated (4.7★ from 30.9K reviews)
Machine Learning A-Z: AI, Python & R Udemy 4.5★ Free 43 hours Free — and still gives a certificate
Mathematics-Basics to Advanced for Data Science And GenAI Udemy 4.6★ Free Free — certificate included
Data Science & AI Advanced Full Course - From Zero to Pro Udemy 4.5★ Free Free — certificate included
Data Science & AI Masters 2026 - From Python To Gen AI Udemy 4.4★ Free Free — certificate included
9 of 9 courses
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Udemy Verified
The Data Science Course: Complete Data Science Bootcamp 2026
★★★★★4.5(161.9K reviews) · 816.1K learners
h · Beginner · Certificate
Free
Enroll
Udemy Verified
Data Science & Machine Learning Bootcamp
★★★★★4.7(30.9K reviews) · 171.2K learners
44 hours · All Levels · Certificate · 10 projects
Free
₹3,999
Enroll
Udemy Verified
Machine Learning A-Z: AI, Python & R
★★★★★4.5(205.7K reviews) · 1.2M learners
43 hours · All Levels · Certificate
Free
₹3,999
Enroll
Udemy Verified
Mathematics-Basics to Advanced for Data Science And GenAI
★★★★★4.6(4.2K reviews) · 33.7K learners
h · Beginner · Certificate
Free
Enroll
Udemy Verified
Data Science & AI Advanced Full Course - From Zero to Pro
★★★★★4.5(812 reviews) · 44.2K learners
h · Beginner · Certificate
Free
Enroll
Udemy Verified
Data Science & AI Masters 2026 - From Python To Gen AI
★★★★★4.4(2.6K reviews) · 34.8K learners
h · Beginner · Certificate
Free
Enroll
Udemy Verified
Complete Data Science Training with Python for Data Analysis
★★★★★4.4(2.2K reviews) · 12.1K learners
h · Beginner · Certificate
Free
Enroll
Udemy Verified
Python for Data Science: Python Programming & Data Analysis
★★★★★4.2(372 reviews) · 14.2K learners
h · Beginner · Certificate
Free
Enroll
Udemy Verified
Data Science Zero to Hero Hindi Course: Scratch to Gen AI
☆☆☆☆☆0.0(0 reviews) · 54 learners
h · Beginner · Certificate
Free
Enroll

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Data Science Courses on Udemy — FAQs

Which is the best data science course for beginners?

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.

Can I learn data science for free?

Yes. freeCodeCamp, Kaggle and IBM (audit on edX) offer high-quality free data science content. Paid courses add structure, certificates and placement support.

How long does it take to learn data science?

Roughly 4–8 months at 8–10 hours a week to become job-ready, covering Python, statistics, ML and a portfolio project.