Compare 6 Data Science courses from top providers — filter by price, level, provider & certificate.
6 Data Science courses that teach Data Analysis — filtered to the courses where it is actually part of the syllabus, not just a mention.
Filtering for Data Analysis for Data Science Courses provides direct access to foundational learning. These courses teach you how to work with data to extract insights, a core skill for any data scientist. All options found here are free and suitable for beginners, making them excellent starting points.
One notable option is the Free Data Science with Python course from freeCodeCamp. This program offers 300 hours of self-paced learning and provides a certificate upon completion. It has a high rating of 4.7 from 21980 reviews, showing its quality and popularity. Learners gain practical skills in data analysis using Python.
Another choice is the IBM Data Science (Free Audit) course, available on edX. This beginner-level course runs for 80 hours in a self-paced mode. It holds a rating of 4.6 based on 12400 reviews. While it does not offer a certificate in its free audit version, it still provides valuable content for understanding data analysis principles.
When comparing these two, the freeCodeCamp course is significantly longer at 300 hours and includes a certificate. The edX course is shorter at 80 hours and does not offer a certificate for free. Both are highly rated and teach essential data analysis skills for those new to data science.
This filter for Data Analysis for Data Science Courses is ideal if you are a beginner looking for free options focused solely on data analysis. However, it might not be the right choice for everyone.
If you are an experienced professional seeking advanced topics, this filter will not show suitable courses, as all listed options are for beginners. Similarly, if you need a course that offers placement support, you will not find any here. The current selection also does not include paid courses, which often provide more in-depth content or dedicated instructor support.
For a broader range of options, including paid programs, advanced courses, or those with placement assistance, visit the main Data Science courses hub. You can also explore specific sibling facets like Free Data Science Courses if cost is your primary concern, or Data Science Courses for Beginners if you are new to the field but open to more options beyond just data analysis.
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 |
|---|---|---|---|---|---|
| Free Data Science with Python | 4.7★ | Free | 300 hours | Free — and still gives a certificate | |
| IBM Data Science (Free Audit) | 4.6★ | Free | 80 hours | Free to audit | |
| What is Data Science? | 4.7★ | Check price | 11h 53m | Highest rated (4.7★ from 77.8K reviews) | |
| Python for Data Science, AI & Development | 4.6★ | Check price | 24h 20m | Beginner-friendly · 24h 20m | |
| SQL for Data Science | 4.6★ | Check price | 15h 34m | Beginner-friendly · 15h 34m | |
| Statistics for Data Science with Python | 4.5★ | Check price | 13h 28m | Beginner-friendly · 13h 28m |
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.