Probability & Statistics for Machine Learning & Data Science
Probability & Statistics for Machine Learning & Data Science is a beginner-level online course from Coursera in Machine Learning. It is structured in 4 modules with 1 stated learning outcome, over 33h 28m. Learners rate it 4.6/5 from 696 ratings on Coursera.
Part of our Machine Learning courses collection, where we compare it against 20 other courses.
Course highlights
| Provider | Coursera |
| Duration | 33h 28m |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.6★ (696 reviews) |
| Price | Check price Free |
What you’ll learn
Level and time commitment
- High school math (functions, basic algebra) and some programming (loops, functions, if/else, lists/dictionaries, libraries, debugging) is recommended
Skills you’ll gain
What this course covers
4 modulesThe 4-part outline Coursera publishes for this course, across 33h 28m.
Module 1 · Week 1 - Introduction to Probability and Probability Distributions
Module 2 · Week 2 - Describing probability distributions and probability distributions with multiple variables
Module 3 · Week 3 - Sampling and Point estimation
Module 4 · Week 4 - Confidence Intervals and Hypothesis testing
What learners rate it
Rated 4.6/5 by 696 learners on Coursera (checked 25 Aug 2026).
This rating is collected by Coursera from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Coursera →
Compiled by the 10courses editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Coursera course pages — we never estimate a price or a rating. Last verified 25 August 2026.
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Compare with alternatives
Same topic, different trade-offs — here's who runs each one and what it's best at.
| Course | Provider | Rating | Price | Duration | Why pick this one |
|---|---|---|---|---|---|
| Probability & Statistics for Machine Learning & Data Science This |
 Coursera
|
4.6★ | Check price | 33h 28m | Most popular — 0 learners |
| Machine Learning |
Coursera
|
4.9★ | Check price | 2 months | Highest rated (4.9★ from 39.2K reviews) |
| Machine Learning with Python |
Coursera
|
4.7★ | Check price | 20h 26m | Quickest to finish (20h 26m) |
| Machine Learning: Classification |
Coursera
|
4.7★ | Check price | 21h 25m | Beginner-friendly · 21h 25m |
Where Machine Learning leads
Roles we map to Machine Learning on 10courses. This is our own mapping of subject to job, not a placement claim by Coursera.
Browse every course we track for one of these — courses for data scientists.
Common questions
How much does Probability & Statistics for Machine Learning & Data Science cost?
Coursera does not publish a price we can read on the course page, so we do not show one. Check the fee on the provider site — we would rather say nothing than quote a number we did not collect.
Does Probability & Statistics for Machine Learning & Data Science come with a certificate?
Yes — Coursera lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.
How long does Probability & Statistics for Machine Learning & Data Science take?
Coursera lists it at 33h 28m. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.
Is Probability & Statistics for Machine Learning & Data Science suitable for beginners?
Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.
What does Probability & Statistics for Machine Learning & Data Science cover?
It is organised into 4 modules, starting with Week 1 - Introduction to Probability and Probability Distributions and going on to Week 2 - Describing probability distributions and probability distributions with multiple variables, Week 3 - Sampling and Point estimation, Week 4 - Confidence Intervals and Hypothesis testing. The full outline is on this page.