Compare 13 Data Science courses from top providers — filter by price, level, provider & certificate.
13 beginner-level Data Science courses, ranked by rating and learner count.
When you select Data Science courses for beginners, you gain access to content designed to introduce core concepts. These courses typically cover programming languages like Python, database management with SQL, and the mathematical and statistical foundations of data science. You do not need prior knowledge in these areas to begin.
For a broad introduction to the field, consider the Google Data Analytics Professional Certificate on Coursera. This course runs for 6 months and has a high rating of 4.8. If you want to focus on programming, Python for Data Science, AI & Development, also on Coursera, provides 24 hours and 20 minutes of content. For those looking for free options, HarvardX: Introduction to Data Science with Python on edX offers 8 weeks of instruction at no cost.
You can also find specialized beginner courses. For example, SQL for Data Science by Coursera focuses on database skills over 15 hours and 34 minutes. Similarly, Data Science Math Skills helps build the necessary mathematical background in 13 hours and 20 minutes.
| Course Title | Provider | Duration | Rating | Certificate |
|---|---|---|---|---|
| Google Data Analytics Professional Certificate | Coursera | 6 months | 4.8 | Yes |
| Getting Started with Python for Data Science | Codecademy | 7h | 4.6 | Yes |
| HarvardX: Introduction to Data Science with Python | edX | 8 weeks | 4.3 | Yes |
| Python for Data Science | Learn Python Online | Udacity | Udacity | 3 months | 4.8 | No |
| Free Data Science with Python | freeCodeCamp | 300 hours | Yes | |
| What is Data Science? | Coursera | 11h 53m | 4.7 | Yes |
While Data Science courses for beginners are excellent for new learners, this filter may not be suitable if you already have some experience in programming, statistics, or data analysis. If you are looking to deepen existing skills or tackle more complex topics like machine learning algorithms or advanced statistical modeling, a beginner course might feel too basic.
Instead, consider exploring Advanced Data Science Courses to find content that matches your current skill level. If cost is your primary concern, and the beginner level is secondary, you might want to look at Free Data Science Courses, which include options for various experience levels. For a broader selection of courses, return to the main Data Science courses hub page.
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 | |
|---|---|---|---|---|---|---|
| Data Science & AI Advanced Full Course - From Zero to Pro | 4.6★ | ₹489 | 48.5 hours | Beginner-friendly · 48.5 hours | View ↗ | |
| Google Data Analytics Professional Certificate | 4.8★ | Check price | 6 months | Highest rated (4.8★ from 182.9K reviews) | View ↗ | |
| Data Science Zero to Hero Hindi Course: Scratch to Gen AI | 4.7★ | ₹449 | 10 hours | Cheapest paid option (₹449) | View ↗ | |
| Getting Started with Python for Data Science | Codecademy | 4.6★ | Free | 7h | Free — and still gives a certificate | Start free ↗ |
| Learn Python for Data Science | Codecademy | $29.99 | 16h | Beginner-friendly · 16h | View ↗ | |
| 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.