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585 Best + Free Python Courses & Certificates [2026]
Ranked by Michael Kuhlman, CourseDuck's founder, from student reviews across every provider. How we rank · Embed this list
Our top picks
- 100 Days of Codeâ„¢: The Complete Python Pro Bootcamp [Udemy]
- Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R [Udemy] - Best Paid Course
- Python for Data Science and Machine Learning Bootcamp [Udemy] - Editor's Choice
- Introduction To Python Programming [Udemy]
- Automate the Boring Stuff with Python Programming [Udemy]
- Learn Python Programming Masterclass [Udemy]
- Python Mega Course: Build 20 Real-World Apps and AI Agents [Udemy]
- The Complete Web Developer Course 3.0 [Udemy]
- Python for Beginners: Learn Python Programming (Python 3) [Udemy]
- Python for Everybody Specialization [Coursera] - Best Overall Course
About the best Python courses
Frequently asked questions
- Udemy and Eduonix are best for practical, low cost and high quality Python courses.
- Coursera, Udacity and EdX are the best providers for a Python certificate, as many come from top Ivy League Universities.
- YouTube is best for free Python crash courses.
- PluralSight, SkillShare and LinkedIn are the best monthly subscription platforms if you want to take multiple Python courses.
- Independent Providers for Python courses & certificates are generally hit or miss.
- Average
- $122,274 a year
- Middle half earn
- $99,500 to $144,000 25th to 75th percentile
- Full range
- $46,500 to $184,000
Share of US job postings in each pay band; the dark bar holds the average, the striped bars the 25th and 75th percentiles. Source: ZipRecruiter salary data, gathered when this guide was first published in January 2021.
Provider
University
Tags
Rating
Duration
Difficulty
Publication Year
Language
The Complete Python Bootcamp From Zero to Hero in Python (2025)
Jose Portilla's 22-hour Python course, the one 2.2 million Udemy students have taken, running from installation and strings through OOP, decorators and two milestone projects.
Best for: Complete beginners who want a clear, notebook-based path through Python basics into OOP and games like Tic Tac Toe and Blackjack.
-
- Explains from the very basics; one reviewer says he answers the beginner questions before they are asked
- A Jupyter notebook for every lecture, plus 27 quizzes and 19 coding exercises to practice on
- Back half covers useful modules: web scraping, PDFs, CSV files, images and sending email
- Captions in 25 languages and a content refresh in August 2025
-
- Pace is fast and the screen zoom is tight; some learners struggle to follow along on their own
- Milestone Project 1 is a big jump for true first-timers; one reviewer says many others struggled with it too
- Little for working developers; no real-world scenarios and a leftover Python 2 appendix
1
100 Days of Code: The Complete Python Pro Bootcamp (2026)
A project-a-day Python bootcamp from zero to Flask, APIs and a taste of data science, with 1.9 million students and a 4.7 rating, though reviewers say the later days need a refresh.
Best for: Complete beginners who need a daily habit and a small finished project every session to stay motivated.
-
- A concrete build every day: Hangman, Blackjack, Snake, a password manager, then API and Flask projects.
- Reviewers repeatedly praise Angela Yu's clear explanations and the pep talk at the end of each module.
- 41 quizzes, 23 coding exercises and 19 assignments keep it hands-on instead of watch-only.
- Updated September 2026, and the first 30 or so days draw almost no complaints.
-
- A two-star reviewer says API lessons from around day 33 onward no longer work because the services changed.
- Later web and backend days lean on text articles instead of video walkthroughs, which frustrates some students.
- One beginner finds the pace fast; another reviewer complains about switching IDEs and installing lots of software.
![Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R](../../programming/machine-learning/images/950390_270f_7.jpg?v=1789255153)
2
Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R
A 49-hour survey of nearly every classic machine learning algorithm in Python and R, plus an AWS deployment track, taught intuition-first with diagrams rather than derivations.
Best for: Beginners with high school math who want a map of the whole ML field, with code templates in Python and R, before specialising.
-
- Theory lectures explain each algorithm with diagrams and intuition; reviewers say the concepts stick.
- Covers regression through neural networks, plus an AWS track on SageMaker, deployment and CI/CD.
- Python and R tracks can be taken separately, with code templates included for the models.
- Refreshed in June 2026 and backed by 1.2 million students and a 4.5 rating from 206,000 reviews.
-
- Coding videos are padded with long intros; one reviewer estimates a quarter of the runtime could be cut.
- Some Python snippets are deprecated and the graded labs fail on variable names, per recent reviews.
- Shallow on statistics; model assumptions are rarely checked, so it can feel like a coding tutorial.
3
The Data Science Course: Complete Data Science Bootcamp 2026
A 32-hour, theory-first path from probability and statistics through Python to regression, clustering and TensorFlow, aimed squarely at people starting from zero.
Best for: Beginners who want the math and statistics explained before touching a machine learning library.
-
- Probability and statistics get about seven hours of real teaching before any Python appears
- 274 quizzes and 130 coding exercises; reviewers say the quizzes make the material stick
- Pace is praised as neither too fast nor too slow for absolute beginners
- Updated September 2026; an earlier CourseDuck review found Q&A responses fast and reliable
-
- Long and theory-heavy up front; several low-star reviews lost interest before the practical parts
- One reviewer says the coding exercises are strict about exact answers and don't match the video examples
- Machine learning sections lean on running code without the math depth the statistics sections had
4
Python for Data Science and Machine Learning Bootcamp (2020)
Udemy's Bestseller-badged Python data science bootcamp, taking you from pandas through scikit-learn to a first neural net in about 25 hours, if you can live with 2020-era tooling.
Best for: People who already code a little and want one course covering pandas, plotting and every classic ML algorithm.
-
- A code notebook for every lecture, so students run the code rather than just watch it
- Pandas section and the visualization libraries are singled out by reviewers as highlights
- Covers regression, trees, SVMs, k-means, NLP, neural nets and Spark in one place
- Q&A section that reviewers call very useful when they get stuck
-
- Last updated May 2020; Plotly/Cufflinks, PySpark and some Seaborn calls no longer work as shown
- Long on videos, short on practice: one quiz and no coding exercises across 165 lectures
- Decision trees and the deep learning section feel rushed to several reviewers
5
Introduction To Python Programming (2024)
A free, 1.2 hour crash course from Avinash Jain that covers Python syntax basics in bite-sized lectures, built for someone testing the water before committing to a longer bootcamp.
Best for: Complete beginners who want a fast, free taste of Python syntax before going deeper.
-
- Free, with over a million subscribers and a 4.5 average rating
- Reviewers say sessions run under five minutes, easy to fit into a busy day
- Reviewers repeatedly describe Jain's explanations as clear and easy to follow
-
- Only 71 minutes and one coding exercise, so there's little hands-on practice
- No certificate on completion, which disappointed at least one reviewer
- A few students say terms like concatenate get introduced without enough explanation
6
Automate the Boring Stuff with Python Programming (2023)
What You'll Learn
- Automate tasks on their computer by writing simple Python programs.
- Write programs that can do text pattern recognition with "regular expressions".
- Programmatically generate and update Excel spreadsheets.
- Parse PDFs and Word documents.
- Crawl web sites and pull information from online sources.
- Write programs that send out email notifications.
- Use Python's debugging tools to quickly figure out bugs in your code.
- Programmatically control the mouse and keyboard to click and type for you.
7
Learn Python Programming Masterclass (2026)
A 61.7 hour, 487 lecture Python foundation course from Tim Buchalka that walks complete beginners from setup through OOP and Tkinter GUIs.
Best for: Complete beginners who want thorough, step by step coverage before touching data science or Django.
-
- 487 lectures across 61.7 hours cover basics through OOP and Tkinter GUIs
- Over 105,000 reviews averaging 4.6, a huge track record to judge by
- Reviewers say explanations build logically and examples are easy to follow
- 22 coding exercises plus quizzes keep it hands-on, not just lecture
-
- Buchalka's Australian accent takes some students an episode or two to adjust to
- A few reviewers say it dives into denser topics faster than true beginners expect
- Some sections are still waiting on a full remaster as of mid-2026
8
Python Mega Course: Build 20 Real-World Apps and AI Agents (2026)
Ardit Sulce teaches Python by having students build 20 real apps, from desktop GUIs to LangChain AI agents, instead of drilling syntax alone.
Best for: Complete beginners who want to build real apps instead of memorizing syntax rules first.
-
- 20 real apps built step by step, including AI agents with LangChain
- Nearly 375,000 students and nowhere near typical Udemy-course review counts (73,000+)
- Explanations use analogies that reviewers say make hard concepts click
- Updated September 2026, so tooling and AI content aren't stale
-
- Some projects are missing downloadable source code and lecture resources
- The AI agent and LangChain section feels rushed compared to core Python chapters
- Covers a lot of ground quickly, so some topics only get surface treatment
9
The Complete Web Developer Course 3.0 (2026)
A 31-hour tour of the whole stack, HTML to PHP, MySQL, WordPress and SEO, from Rob Percival, with over 317,000 students enrolled and a refresh in February 2026.
Best for: Total beginners who want one broad pass across front end, PHP, MySQL and WordPress before picking a specialty.
-
- Covers HTML, CSS, JavaScript, jQuery, Bootstrap 5, WordPress, PHP, MySQL, APIs, Python and SEO in one place
- Rob Percival's delivery is clear; beginners say the early sections are easy to follow
- Refreshed in February 2026 and running since 2016, with 4.5 stars from over 72,000 reviews
- Real builds included: a portfolio site, a WordPress site with contact form, a Python word game
-
- Resource links, code downloads and the promised freebies are widely reported broken or unavailable
- Some sections are taught by Codestars staff, and one reviewer found them weaker than Rob's own lectures
- No React, Node or coding exercises; breadth over depth in every language it touches
10
Python for Beginners: Learn Python Programming (Python 3) (2026)
A tight, 2.9 hour walkthrough of core Python syntax from a longtime Linux/Unix engineer, built for people who just want the basics fast without padding.
Best for: Total beginners who want Python fundamentals explained clearly, without extra fluff
-
- Jason Cannon's calm, clear teaching style gets praised repeatedly in reviews
- Covers the essential basics (strings, lists, dictionaries, functions, files) in under 3 hours
- Updated this month, so the content and examples are current
- Comes with downloadable scripts so students can experiment with what's taught
-
- No object-oriented programming, one reviewer specifically wanted it added
- No coding exercises, just quizzes, so there's little hands-on practice with feedback
- At under 3 hours, it only scratches the surface before moving on