Statistics for Data Science
The statistics you need, with Python and zero jargon
4.7(1,320 ratings)11,890 learnersUpdated Oct 2026 · English · CC· 1h 19m
PNCreated by Priya Nair· Updated Oct 2026What you'll learn
- Describe data correctly
- Run and read hypothesis tests
- Avoid the classic mistakes
Probability, distributions, testing and regression explained with simulations in Python instead of formulas.
Course content
3 sections · 7 lessons · 1h 19m total length
1 · Describing data2 lessons · 17m
- 1.2 Averages and spread10:45
2 · Inference3 lessons · 37m
- 2.1 Sampling12:05
- 2.2 Confidence intervals11:40
- 2.3 Hypothesis tests13:30
3 · Models2 lessons · 24m
- 3.1 Linear regression14:10
- 3.2 Common pitfalls9:55
Instructor
PN
Priya Nair
Data scientist and author of three Python books · 106,003 students · 6 courses
Priya spent ten years turning messy data into decisions at retail and health companies. She explains the why before the how, with real datasets in every lesson.
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