Udemy
Python for Data Science and Machine Learning Bootcamp
Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!
Python for Data Science and Machine Learning Bootcamp is a beginner-level online course from Udemy in Machine Learning. It is structured in 20 modules with 8 stated learning outcomes. It is free to enrol, and a certificate is available on completion. Learners rate it 4.5/5 from 160.4K ratings on Udemy, with 832.6K enrolled.
Part of our Machine Learning courses collection, where we compare it against 9 other courses.
Course highlights
| Provider | Udemy |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.5★ (160.4K reviews) |
| Learners | 832.6K |
| 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 · Course Introduction
Module 2 · Environment Set-Up
Module 3 · Jupyter Overview
Module 4 · Python Crash Course
Module 5 · Python for Data Analysis - NumPy
Module 6 · Python for Data Analysis - Pandas
Module 7 · Python for Data Analysis - Pandas Exercises
Module 8 · Python for Data Visualization - Matplotlib
Module 9 · Python for Data Visualization - Seaborn
Module 10 · Python for Data Visualization - Pandas Built-in Data Visualization
Module 11 · Python for Data Visualization - Plotly and Cufflinks
Module 12 · Python for Data Visualization - Geographical Plotting
Module 13 · Data Capstone Project
Module 14 · Introduction to Machine Learning
Module 15 · Linear Regression
Module 16 · Cross Validation and Bias-Variance Trade-Off
Module 17 · Logistic Regression
Module 18 · K Nearest Neighbors
Module 19 · Decision Trees and Random Forests
Module 20 · Support Vector Machines
What learners rate it
Rated 4.5/5 by 160.4K 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.
How we compare and rank courses · Our review policy · Affiliate disclosure
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 |
|---|---|---|---|---|---|
| Python for Data Science and Machine Learning Bootcamp This |
Udemy
|
4.5★ | Free | Free — and still gives a certificate | |
| 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 Udemy.
Browse every course we track for one of these — courses for data scientists.
Common questions
Is Python for Data Science and Machine Learning Bootcamp 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 Python for Data Science and Machine Learning Bootcamp come with a certificate?
Yes — Udemy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.
Is Python for Data Science and Machine Learning Bootcamp suitable for beginners?
Yes. Udemy lists it at Beginner level, so no prior experience in the subject is assumed.
What does Python for Data Science and Machine Learning Bootcamp cover?
It is organised into 20 modules, starting with Course Introduction and going on to Environment Set-Up, Jupyter Overview, Python Crash Course, Python for Data Analysis - NumPy, among others. The full outline is on this page.