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525 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
- Python from Beginner to Intermediate in 30 min. [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
As featured on Harvard EDU, Stackify and Inc - CourseDuck identifies and rates the Best Python Courses, Tutorials, Providers and Certifications, based on 12,000+ student reviews, public mentions, recommendations, ratings and polling 5,000+ highly active StackOverFlow members. Learn more
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.
Python is one of the most loved programming languages by developers, data scientists, software engineers, and even hackers because of its versatility, flexibility, and object-oriented features. ... Although it's a high-level language and can do complex tasks, Python is easy to learn and has a clean syntax.
- 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.
Yes and No. Certified Python developers on average make more money. Having a Python certificate greatly increases the chance of landing an interview and can open otherwise closed doors. Coursera, Udacity and EdX offer excellent certificate options for impressing your future employers. Eduonix, Udemy and several other providers offer certificates, but they aren't as reputable. If you have a Computer Science Degree, certificates are not as important. Still, many employers won't care about certificates, but rather your interview skills, experience and/or skills assessment.
Provider
University
Tags
Rating
Duration
Difficulty
Publication Year
Language
525 Filtered Courses
Sponsored
The Complete Python Bootcamp From Zero to Hero in Python (2025)
4.6
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.
Pros
Cons
-
- 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)
4.7
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.
Pros
Cons
-
- 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)
Best Paid Course
2
Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R
4.5
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.
Pros
Cons
-
- 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.
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- 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.
Sponsored
3
The Data Science Course: Complete Data Science Bootcamp 2026
4.5
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.
Pros
Cons
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- 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
Editor's Choice
4
Python for Data Science and Machine Learning Bootcamp (2020)
4.5
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.
Pros
Cons
-
- 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
Python from Beginner to Intermediate in 30 min. (2017)
4.4
A free, 93 minute Python primer from 2017 that reviewers say is a decent first look, though the intermediate promise in the title is a stretch.
Best for: Total beginners who want a free, one evening taste of Python before paying for a long bootcamp.
Pros
Cons
-
- Free and only about 93 minutes, so it fits in one sitting before a longer course
- Thirty short lectures across nine sections, easy to dip in and out of
- Reviewers say the early lectures on syntax, strings and slicing are clear for newcomers
- Nearly 196,000 enrolled and a 4.4 rating from about 11,000 reviews
-
- Poor audio in places, and several reviewers find the accent and flat delivery hard to follow
- Later sections, especially OOP, show examples rather than explain them
- No quizzes or coding exercises, and not updated since 2017
6
Automate the Boring Stuff with Python Programming (2023)
4.7
A practical programming course for office workers, academics, and administrators who want to improve their productivity.
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)
4.6
This Python For Beginners Course Teaches You The Python Language Fast. Includes Python Online Training With Python 3
What You'll Learn
- Have a fundamental understanding of the Python programming language.
- Have the skills and understanding of Python to confidently apply for Python programming jobs.
- Acquire the pre-requisite Python skills to move into specific branches - Machine Learning, Data Science, etc..
- Add the Python Object-Oriented Programming (OOP) skills to your rsum.
- Understand how to create your own Python programs.
- Learn Python from experienced professional software developers.
- Understand both Python 2 and Python 3.
8
Python Mega Course: Build 20 Real-World Apps and AI Agents (2026)
4.5
Learn Python from beginner to pro build and deploy web apps, APIs, automation, data science & AI agents.
What You'll Learn
- Build 20 real-world Python apps, AI Automations & Agents from scratch.
- Automate repetitive tasks using Python scripts.
- Create your own web apps, data science tools, and desktop GUIs.
- Master core Python concepts through a hands-on, project-based approach.
- Integrate Python with modern AI tools like LangChain to build intelligent Agents and Automations.
- Work with APIs, web scraping, and data processing to solve real problems.
- Gain the confidence to tackle any new Python project on your own.
- Build apps using essential Python libraries -including PyQt, Flask, Django, Pandas, Selenium, LangChain 1, and more.
9
The Complete Web Developer Course 3.0 (2026)
4.5
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.
Pros
Cons
-
- 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)
4.5
Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.
What You'll Learn
- Write Python programs that can be used on Linux, Mac, and Unix operating systems.