Compare 9 Data Science courses from top providers — filter by price, level, provider & certificate.
All 9 Data Science courses on Udemy, compared by rating, level and price.
Focusing on Udemy for your data science education provides access to a large library of self-paced courses. These programs consistently earn high ratings, with an average rating of 4.5 and a maximum rating of 4.7 across the available options. Every course includes a certificate of completion.
For a comprehensive introduction, consider The Data Science Course: Complete Data Science Bootcamp 2026. It is a beginner-level course with a 4.5 rating from 100K+ ratings. If you are interested in machine learning alongside data science, Complete A.I. & Machine Learning, Data Science Bootcamp is an 'All Levels' course with a 4.7 rating and 44 hours of content. For those looking to specialize in programming, Python for Data Science: Python Programming & Data Analysis focuses on Python for data analysis and is designed for beginners.
| Course Title | Level | Duration | Rating | Reviews | Learners |
|---|---|---|---|---|---|
| The Data Science Course: Complete Data Science Bootcamp 2026 | Beginner | Not published | 4.5 | 100K+ ratings | 800K+ learners |
| Complete A.I. & Machine Learning, Data Science Bootcamp | All Levels | 44 hours | 4.7 | 30K+ ratings | 100K+ learners |
| Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R | All Levels | 43 hours | 4.5 | 200K+ ratings | 1M+ learners |
| Data Science & AI Advanced Full Course - From Zero to Pro | Beginner | Not published | 4.6 | 800+ ratings | 40K+ learners |
| Mathematics-Basics to Advanced for Data Science And GenAI | Beginner | Not published | 4.5 | 4K+ ratings | 30K+ learners |
| Data Science & AI Masters 2026 - From Python To Gen AI | Beginner | Not published | 4.4 | 2K+ ratings | 30K+ learners |
| Python for Data Science: Python Programming & Data Analysis | Beginner | Not published | 4.1 | 300+ ratings | 10K+ learners |
| Complete Data Science Training with Python for Data Analysis | Beginner | Not published | 4.3 | 2K+ ratings | 10K+ learners |
| Data Science Zero to Hero Hindi Course: Scratch to Gen AI | Beginner | Not published | 4.7 | 9 ratings | 50+ learners |
If you are exploring all available options for data science education, filtering only for Data Science Courses on Udemy might be too restrictive. This filter does not show courses from other providers that might offer different learning styles, pricing models, or specialized content. For example, if you are looking for Data Science Courses with Placement Support, this filter will not help, as Udemy courses in this list do not offer placement.
Instead, you might want to explore the broader range of Data Science courses available across various platforms. If cost is a primary concern, you could also look into 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 | |
|---|---|---|---|---|---|---|
| The Data Science Course: Complete Data Science Bootcamp 2026 | 4.6★ | ₹509 | 32.5 hours | Highest rated (4.6★ from 162.3K reviews) | View ↗ | |
| Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R | 4.5★ | ₹509 | 43 hours | Most popular — 1.2M learners | View ↗ | |
| Complete A.I. & Machine Learning, Data Science Bootcamp | 4.6★ | ₹509 | 44 hours | Most hands-on — 10 projects | View ↗ | |
| Data Science & AI Advanced Full Course - From Zero to Pro | 4.6★ | ₹489 | 48.5 hours | Beginner-friendly · 48.5 hours | View ↗ | |
| Mathematics-Basics to Advanced for Data Science And GenAI | 4.5★ | ₹469 | 23 hours | Quickest to finish (23 hours) | View ↗ | |
| Data Science & AI Masters 2026 - From Python To Gen AI | 4.4★ | ₹459 | 118 hours | Cheapest paid option (₹459) | 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.