Linear Algebra for Machine Learning and Data Science
Linear Algebra for Machine Learning and Data Science is a beginner-level online course from Coursera in Machine Learning. It is structured in 4 modules with 3 stated learning outcomes, over 34h 8m. Learners rate it 4.6/5 from 2.4K ratings on Coursera.
Part of our Machine Learning courses collection, where we compare it against 3 other courses.
Course highlights
| Provider | Coursera |
| Duration | 34h 8m |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.6★ (2.4K 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 34h 8m.
Module 1 · Week 1: Systems of linear equations
Module 2 · Week 2: Solving systems of linear equations
Module 3 · Week 3: Vectors and Linear Transformations
Module 4 · Week 4: Determinants and Eigenvectors
What learners rate it
Rated 4.6/5 by 2.4K learners on Coursera (checked 11 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 11 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 |
|---|---|---|---|---|---|
| Linear Algebra for Machine Learning and Data Science This |
 Coursera
|
4.6★ | Check price | 34h 8m | 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) |
| Mathematics for Machine Learning |
Coursera
|
4.6★ | Check price | 1 month | Beginner-friendly · 1 month |
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 Linear Algebra for Machine Learning and 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 Linear Algebra for Machine Learning and 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 Linear Algebra for Machine Learning and Data Science take?
Coursera lists it at 34h 8m. 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 Linear Algebra for Machine Learning and Data Science suitable for beginners?
Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.
What does Linear Algebra for Machine Learning and Data Science cover?
It is organised into 4 modules, starting with Week 1: Systems of linear equations and going on to Week 2: Solving systems of linear equations, Week 3: Vectors and Linear Transformations, Week 4: Determinants and Eigenvectors. The full outline is on this page.