Udemy
Mathematics-Basics to Advanced for Data Science And GenAI
Mathematics-Basics to Advanced for Data Science And GenAI is a beginner-level online course from Udemy in Data Science. It is structured in 20 modules with 4 stated learning outcomes. It is free to enrol, and a certificate is available on completion. Learners rate it 4.6/5 from 4.2K ratings on Udemy, with 33.7K enrolled.
Part of our Data Science courses collection, where we compare it against 26 other courses.
Course highlights
| Provider | Udemy |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.6★ (4.2K reviews) |
| Learners | 33.7K |
| Price | Free Free |
What you’ll learn
Level and time commitment
Skills you’ll gain
What this course covers
20 modulesThe 20-part outline Udemy publishes for this course.
Module 1 · Welcome To This Course
Module 2 · Introduction To Linear Algebra
Module 3 · Introduction To Functions And Transformation
Module 4 · Inverse Functions Or Transformation
Module 5 · Eigen Vectors And Eigen Values
Module 6 · Equation Of a Line,Plane,Hyperplane
Module 7 · Introduction To Statistics
Module 8 · Descriptive Statistics
Module 9 · Introduction To Probability
Module 10 · Probability Distribution function And Types Of Distribution
Module 11 · Inferential Stats and Hypothesis Testing
Module 12 · Chi Square Test With Solved Exmaples
Module 13 · Annova Test With Solved Examples
Module 14 · Differential Calculus
Module 15 · Power Rules And Derivative Rules
Module 16 · Product Rules In Derivative
Module 17 · Chain Rule Of Derivatives
Module 18 · Application Of Linear algebra,Stats And Differential Calculus In Data Science
Module 19 · Application Of Linear Algebra In Dimensionality Reduction
Module 20 · Application Of Derivatives In Deep Learning Neural Network
What learners rate it
Rated 4.6/5 by 4.2K learners on Udemy (checked 25 Aug 2026).
This rating is collected by Udemy from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Udemy →
Compiled by the 10courses editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Udemy 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 |
|---|---|---|---|---|---|
| Mathematics-Basics to Advanced for Data Science And GenAI This |
Udemy
|
4.6★ | Free | Free — and still gives a certificate | |
| Google Data Analytics Professional Certificate |
 Coursera
|
4.8★ | ₹3,999 | 6 months | Highest rated (4.8★ from 181.6K reviews) |
| Deep Learning Specialization |
Coursera
|
4.8★ | ₹4,299 | 3 months | Quickest to finish (3 months) |
| Python for Data Science | Learn Python Online | Udacity | Udacity | 4.8★ | Check price | 3 months | Beginner-friendly · 3 months |
Where Data Science leads
Roles we map to Data Science on 10courses. This is our own mapping of subject to job, not a placement claim by Udemy.
Browse every course we track for one of these — courses for data scientists.
Common questions
Is Mathematics-Basics to Advanced for Data Science And GenAI free?
Yes. Udemy lists it as free to enrol. A certificate is available on completion — providers often charge separately for the certificate even when the course itself is free, so check the fee on the provider page before you count on it.
Does Mathematics-Basics to Advanced for Data Science And GenAI come with a certificate?
Yes — Udemy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.
Is Mathematics-Basics to Advanced for Data Science And GenAI suitable for beginners?
Yes. Udemy lists it at Beginner level, so no prior experience in the subject is assumed.
What does Mathematics-Basics to Advanced for Data Science And GenAI cover?
It is organised into 20 modules, starting with Welcome To This Course and going on to Introduction To Linear Algebra, Introduction To Functions And Transformation, Inverse Functions Or Transformation, Eigen Vectors And Eigen Values, among others. The full outline is on this page.