Python is not a credit card program. That is the first thing to say because most ‘top courses’ lists on the internet will assume you will eventually hit a paywall. This one isn’t like that. All of the 20 links below are free to join and we didn’t stop there: we went and started all of them and found out what was actually in them, and fixed broken links before publishing this.
From web apps and automation scripts, to data pipelines, AI models, and even tools used by security teams to identify threats, Python is everywhere. That’s the reason why there are a lot of free online Python courses these days, ranging from universities to community-sponsored tutorial websites. The difficulty is separating the wheat from the chaff, many “best of” lists are copied from site to site without anyone verifying whether or not the links are still functional.
This is a hand-curated list of 20 Best free Python courses online in 2026 depending on what they’re really good for: a complete beginner, someone preparing for interviews, a budding data professional, and anyone who wants to make a small game to play for fun.
Quick Comparison: 20 Free Python Courses
| # | Course | Platform | Level | Focus |
|---|---|---|---|---|
| 1 | CS50’s Introduction to Programming with Python | Harvard CS50 | Beginner | Python & Programming Fundamentals |
| 2 | Python for Everybody | University of Michigan / PY4E | Beginner | Python Fundamentals |
| 3 | Google’s Python Class | Beginner to Intermediate | Python Programming | |
| 4 | Scientific Computing with Python | freeCodeCamp | Beginner to Advanced | Scientific Computing |
| 5 | Python for Beginners | Simplilearn SkillUp | Beginner | Python Basics |
| 6 | Programming with Python 3.X | Simplilearn SkillUp | Beginner | Python Programming |
| 7 | Advanced Python Course | Simplilearn SkillUp | Advanced | Advanced Python |
| 8 | Getting Python Interview Ready | Simplilearn SkillUp | Intermediate | Interview Preparation |
| 9 | Python Libraries for Data Science | Simplilearn SkillUp | Intermediate | Data Science |
| 10 | Python Pandas Basics Course | Simplilearn SkillUp | Beginner | Pandas |
| 11 | Python Fundamentals for Beginners | Great Learning | Beginner | Python Basics |
| 12 | Python for Data Analysis | Great Learning | Beginner to Intermediate | Data Analysis |
| 13 | Python Programming in Hindi | Great Learning | Beginner | Python Basics (Hindi) |
| 14 | Pygame Basics | Great Learning | Beginner | Game Development |
| 15 | Python Tutorial | W3Schools | Beginner to Advanced | Python Reference & Tutorials |
| 16 | Python Programming | Programiz | Beginner to Advanced | Python Basics to Advanced |
| 17 | Introduction to Python | DataCamp | Beginner | Python & Data Science |
| 18 | Learn Python 3 | Codecademy | Beginner | Python Programming |
| 19 | Python Introduction | SoloLearn | Beginner | Python Fundamentals |
| 20 | Python Tutorial | TutorialsPoint | Beginner to Advanced | Python Reference |
1. CS50’s Introduction to Programming with Python, Harvard CS50
If you wish to learn something like a real college class, then this is for you. CS50P (which is the name it’s commonly known by) divides its topics into 10 weeks: functions and variables, conditionals, loops, exceptions, libraries, unit testing, file I/O, regular expressions, object oriented programming, and a catch all “et cetera” week, culminating in a final project of your own design.
Best for: Anyone who wants a structured, rigorous intro to learn Python for free and does not mind ten weeks of homework.
2. Python for Everybody, University of Michigan / PY4E
This was custom made by Dr. Chuck Severance for those with little or no coding knowledge, and it reflects that in its gentle ramp. The entire free Python course is 16 chapters long, beginning with the question of “why program?” and proceeding through variables, conditions, functions, loops, strings, files, lists, dictionaries, tuples, regular expressions, network programming, web services, basic OOP, and databases using SQL.
Best for: Complete beginners looking for one of the strongest Python courses for beginners available, and one that leads naturally into data adjacent work later.
3. Google’s Python Class
It is the real material used within Google to introduce folks with some coding expertise to Python, all in the span of two days. It covers topics of setup, introduction to language, strings, lists, sorting, dictionaries and files, regular expressions and utility functions, all accompanied by written materials, lecture videos, and practical exercises.
Best for: People who already know the basics of some programming language and want to pick up Python specifically, fast.
4. Scientific Computing with Python, freeCodeCamp
To obtain this certification track, create five authentic projects: Arithmetic Formatter, Time Calculator, Budget App (which teaches you object oriented programming using a Category class), Polygon Area Calculator (which uses Rectangle and Square classes, with Square subclassing Rectangle), and a Probability Calculator, where you simulate drawing balls from a hat.
Best for: Learners who would rather build things than watch someone else build things, and who want a completion certificate to show for it.
5. Python for Beginners, Simplilearn SkillUp
It covers the fundamentals (data types, strings, conditionals, loops) then keeps going into object oriented programming, threading and scripting, and a tour through NumPy, Pandas, Matplotlib, and Scikit Learn, before wrapping with a web scraping module and a set of interview questions.
Best for: Absolute beginners who want one of the more complete free Python certification courses on this list, one that goes from “what is a variable” all the way to a taste of data science libraries.
6. Programming with Python 3.X, Simplilearn SkillUp
This is a shorter, 3 hour course which is closer to the core syntax: installation and print statements, variables, loops, if/else constructs, functions and scope, error handling, file operations, and a quick project.
Best for: Beginners who want a fast, no frills walkthrough of Python 3 syntax before committing to something longer.
7. Advanced Python Course, Simplilearn SkillUp
After the basics, this 10 hour course ventures into some of the territory that many “advanced” free Python courses go over too quickly: looping tricks, lambda functions, full OOP with inheritance, iterators & generators, scope & modules, exception handling, sorting algorithms, virtual environments and a real introduction to NumPy and Pandas.
Best for: Developers who already have Python fundamentals down and want to level up before tackling data heavy or backend heavy work.
8. Getting Python Interview Ready, Simplilearn SkillUp
Content-wise it’s a 2 hour crash course over the questions that actually happen in Python interviews: list comprehension, list vs. tuple, common map and lambda questions and a walk through a mock interview near the end.
Best for: Hindi speaking learners who already know Python basics and want targeted interview prep rather than another beginner course.
9. Python Libraries for Data Science, Simplilearn SkillUp
NumPy and Pandas for data, Matplotlib for plotting, Scikit Learn for basic machine learning, a full module on web scraping and an intro to TensorFlow for deep learning.
Best for: Python learners who have the syntax down and are ready to start touching real data science tools.
10. Python Pandas Basics Course, Simplilearn SkillUp
After 5 hours of focused study, a deep dive into one library, Pandas, along with learning the basics of Series, DataFrame manipulation and a hands-on project analyzing weather data.
Best for: Learners moving from general Python knowledge into structured data work who want Pandas covered properly, not just skimmed.
11. Python Fundamentals for Beginners, Great Learning
One of the more in-depth Python programming for beginners courses featured here, with almost 4 hours of content ranging from the importance of programming and memory allocation, to conditionals, loops, functions, and a very in-depth OOP section that covers multiple types of OOP inheritance. It even covers topics you don’t typically find in a beginner course such as regular expressions, testing with Pytest, and GitHub Copilot.
Best for: First time programmers who want more depth than a typical two hour crash course but are not ready for something as intensive as CS50.
12. Python for Data Analysis, Great Learning
It’s actually three guided exploratory data analysis (EDA) projects that cover both IPL cricket data, football data, and a Marvel Superheroes data set, all done using Pandas, Matplotlib and Seaborn. View it as a real-world extension once you have picked up Pandas elsewhere.
Best for: Learners who already know some Python and Pandas and want quick, concrete practice analyzing real datasets.
13. Python Programming in Hindi, Great Learning
This is an actual complete beginner course, where everything is explained in Hindi, and is 4.5 hours long, including a robust section on OOP (classes, constructors, multiple and multi level inheritance), conditionals, loops, functions, strings and string functions, variables and data types.
Best for: Beginners who would rather learn programming logic in Hindi than fight through it in English at the same time.
14. Pygame Basics, Great Learning
It is an introduction, one and half hours worth of learning, not a whole game development class. It introduces you to the installation of Pygame, to draw the first “hello world” window, to know how to use the game loop and game state, to work with pixel coordinates and colors, the Rect object, to add images and text, to draw shapes, some animation and to play sounds.
Best for: Python learners curious about game development who want a taste of Pygame before committing to a bigger project.
15. Python Tutorial, W3Schools
Each concept has its own page, with a live, edittable code example (“Try it Yourself”): experiment with the code in real time in your browser, and see your changes in action. It ranges from syntax down to using files, even including chapters on connecting Python to MySQL and MongoDB.
Best for: Learners who want a reliable place among the best Python courses online to look things up quickly, or who prefer learning by tinkering with runnable examples over watching videos.
16. Python Programming, Programiz
The Programiz website is a good free source to learn Python programming language. You will find there all the basics (variables, control flow, data types, functions, files) and it is in the advanced level that Programiz shines: list comprehensions, lambda functions, iterators, generators, closures, decorators, the @property decorator, regular expressions and even metaprogramming using metaclasses.
Best for: Self paced learners looking for one of the more complete Python learning resources that covers basics and genuinely advanced topics without switching sites.
17. Introduction to Python, DataCamp
From the outset DataCamp presents Python not as a general purpose language, but as a data tool and thus the entire four-hour course is organised around these aspects: Python basics (including using it as a calculator), lists, functions and packages, and finally an introduction to NumPy arrays and basic statistical operations.
Best for: Anyone hunting for a solid free Python course with certificate who already knows they want to end up doing data analysis or data science, and would rather skip the general programming detour.
18. Learn Python 3, Codecademy
Best for: Beginners who learn best by typing code themselves rather than reading or watching, and who do not mind a light paywall further into the course.
19. Python Introduction, SoloLearn
As for the SoloLearn app, it is specifically designed for mobile-first learning. So, in case you need to learn some fundamentals like strings, user input, variables, if/else statements, lists and functions, you can do that while waiting in line or while taking a ride on the bus. It is the lightest course of them all, as in the name.
Best for: People who want to build a habit around Python for beginners in short daily bursts, especially if they are doing most of their studying on a phone.
20. Python Tutorial, TutorialsPoint
TutorialsPoint ventures into the realm of more advanced topics such as multithreading, thread synchronization, socket level networking, memory management, metaclasses, coroutines, descriptors, etc., in addition to the basic stuff and a full set of tutorials for NumPy, Pandas, SciPy, Matplotlib, Django, and OpenCV.
Best for: Learners who want one bookmarkable reference that covers everything from “what is a variable” to genuinely advanced internals.
How to Choose the Right Free Python Course
There are twenty options, and it’s hard to narrow down that many, so here is a general approach to narrowing it down from where you’re starting.
If you’re new to programming, try one of these:
- CS50’s Introduction to Programming with Python
- Python for Everybody
- Python for Beginners (Simplilearn)
- Python Fundamentals for beginners (Great learning)
- Python Programming (Programiz)
If you already know how to code in some other language and you only want to learn Python:
- Google’s Python Class
- Scientific Computing with Python (freeCodeCamp)
- This is a course on Advanced Python offered by Simplilearn.
If the ultimate goal is data science then a prudent roadmap is something like this:
From the basics of Python, to Python for Data Analysis, to Pandas Basics, to Python Libraries for Data Science.
From this list, check out the following free Python courses: Python for Data Analysis (Great Learning), Python Pandas Basics Course, Python Libraries for Data Science, or Introduction to Python (DataCamp).
First get the basics down with Getting Python Interview Ready, if you’re preparing for interviews, and then have some real coding practice to back it up.
Scientific Computing with Python and Pygame Basics are both project-based books that require you to work on a project and not just watch someone else work on one.
Students who prefer to study in Hindi are provided with two courses, Python programming courses in Hindi and Getting Python Interview Ready (both by Great Learning and Simplilearn), which are completely conducted in Hindi.
A Simple Free Python Learning Path
Choose a route or route of action, rather, according to the aim.
Step 1, learn the fundamentals Pick one: CS50 Python, then Python for Everybody, then Python Fundamentals for Beginners.
Step 2: Practice what you have learnt Google’s Python Class, Programs, W3Schools (Use these as practice and reference material, NOT to learn a second full course).
Step 3: Select a specialization
For data work: Python fundamentals to Pandas Basics to Python for Data Analysis to Python Libraries for Data Science.
Frequently Asked Questions
Is Python actually free to learn?
Yes. Python is open source and free to install and these resources, ranging from Harvard’s CS50 to community resources like W3Schools, will help you learn Python without spending any money. Some do offer an optional certificate that is available for a price.
Can I learn Python with zero programming background?
For those who wish to learn from the ground up, three of the best Python courses for beginners are available for free: Python for Everybody, CS50’s Introduction to Programming with Python, and Python Fundamentals for Beginners.
Which course is best for beginners?
If you are looking for a structured and guided experience, you would want to go for the top two: CS50 and Python for Everybody.
Can I get a free certificate after finishing?
A few of these are free certificates, such as most of the Simplilearn SkillUp courses and freeCodeCamp’s Scientific Computing certificate.
Which course is best for getting into data science?
Introduction to Python (DataCamp), Python for Data Analysis, Python Pandas Basics Course, and Python for data science free course are good courses for a data-focused route.
How long does it actually take to learn Python?
The basics can be mastered in a few weeks of regular practice for someone with no programming knowledge. You can’t really get good enough to do something professionally after watching tutorials; you need to actually do things for months.
Conclusion
You don’t become a great Python programmer by watching videos. Select one of the structured courses for the beginners, complete it, then select a small project to build immediately (even an automated script to do something menial in your life is fine) and dive in and start one of the specializations.
If you’re interested in becoming a Data Scientist, for instance, you can now apply to a course sequence of Python for Everybody, Pandas Basics and Data Analysis Libraries and Data Science Libraries courses.
The most critical factor to remember is that it’s not that there aren’t enough free Python courses. It’s starting and it’s going on until concepts truly begin to make sense.