9 Best Free Python Courses on Udemy: Learn Python Without Paying

What you’ll learn

This course covers Python fundamentals from the ground up, including variables, data types, operators, and syntax, before moving into control flow (if-else, loops), core data structures (lists, dictionaries, tuples), functions, error handling with try/except, and a genuinely useful bonus: an introduction to object-oriented programming, including classes, inheritance, and the super function.

Course details

Roughly 1 hour 10 minutes across 22 lectures, with English captions and coding exercises built into the lessons. It has over 77,000 ratings at a 4.5 average and over a million enrolled students, which is a strong signal of consistency.

What I like

It doesn’t waste time on filler intros. The pacing is brisk without skipping explanations, and covering OOP basics in a free intro course is rare. Most free courses stop at loops and functions.

What could be better

At just over an hour, this is a primer, not a deep dive. Concepts like OOP and exception handling are introduced but not practiced extensively, so learners will need a second, project-heavy resource to actually retain and apply what’s covered here.

Best for

Complete beginners who want a fast, structured first pass at Python before committing to a longer course.

What you’ll learn

This course walks through Python basics, syntax, data structures (tuples, lists, dictionaries, sets), operators, control flow, functions, exception handling, and a genuinely thorough OOP module covering inheritance, polymorphism, and encapsulation, not just the definitions, but working examples for each.

Course details

Around 1 hour 59 minutes across 23 lectures in 10 sections. It also includes a dedicated installation module for Python and PyCharm, plus practice exercises after almost every section.

What I like

The structure is genuinely methodical; each concept gets its own section with a follow-up practice exercise, so you’re not just watching, you’re immediately applying. 

The OOP section alone is more detailed than what most free courses offer, covering all four pillars with concrete car/vehicle examples rather than abstract theory.

Read Also: How To Build A Daily Learning Habit With Udemy? – Guide

What could be better

Two hours is still a light introduction for a topic this broad – polymorphism and encapsulation, in particular, get covered in under 8 minutes combined, which is enough to recognize the concepts but not enough to feel confident using them. Expect to revisit these topics elsewhere.

Best for

Beginners and students who want a course with built-in installation help and a practice-first structure, especially those aiming to understand OOP fundamentals early.

What you’ll learn

This course covers the essential building blocks of Python, including variables, data types, operators, string handling, if/else logic, and loops. 

Then puts them to work through two mini projects: a budget tracker and a number-guessing game, before closing with a roadmap for what to practice next.

Course details

Just 30 minutes across 13 lectures in 5 sections, last updated February 2026, making it one of the most recently refreshed courses on this list. It includes coding exercises plus a written setup guide for installing Python and VS Code.

Read Also: Why Is Online Education Perfect for Lifelong Learning? 13 Points to Understand

What I like

The mini projects are the standout feature. Most 30-minute courses stop at theory, but this one has you actually build something functional, twice, before you finish. The “how to practice after this course” lesson is also a thoughtful touch that most free courses skip entirely.

Best for

Absolute beginners who want a quick, confidence-building first taste of Python before committing to a longer, more comprehensive course.

What you’ll learn

This course is entirely dedicated to object-oriented Python with topics like classes and objects, the __init__ method, data hiding, properties, class variables, class and static methods, magic methods, inheritance, multiple inheritance, MRO, super(), and polymorphism, all explained with dedicated demos and practice exercises.

Course details

2 hours 10 minutes across 28 lectures in 5 sections, rated 4.5 from over 3,318 students and taken by more than 106,000 learners. 

It’s taught by Deepali Srivastava, author of “Ultimate Python Programming,” and includes quizzes plus practice exercises with solutions after nearly every major topic.

What I like

This is the rare free course that treats OOP as a subject worth its own two hours instead of a rushed afterthought. 

Concepts like MRO, magic methods, and static vs. class methods get proper explanations with real code demonstrations, and the practice exercises actually test whether you understood the concept, not just whether you watched the video.

Best for

Learners who’ve already covered Python fundamentals and want a focused, interview-ready understanding of OOP concepts.

What you’ll learn

This is a genuinely comprehensive walkthrough including variables, operators, strings (including slicing, splitting, and joining), lists, tuples, dictionaries, control flow, both for and while loops (with zip and enumerate), functions, the random module, built-in functions, and a bonus section on working with text files.

Course details

5 hours 35 minutes across 32 lectures in 7 sections, rated 4.4 from over 6,437 students with nearly 200,000 enrolled. It uses Jupyter Notebook and Anaconda rather than a plain text editor, and includes 5 exercise sets with full video and PDF solutions.

Read Also: 10 Best C++ Courses for Beginners That Are Actually Worth it

What I like

The depth here is rare for a free course – string slicing, zip/enumerate, and working with text files are topics many paid beginner courses skip entirely. The five structured exercises with complete solutions also mean you’re not left guessing whether your code is “right.”

Best for

Beginners who want real depth and thorough practice in a single free course, and don’t mind learning through Jupyter Notebook.

What you’ll learn

This course picks up where beginner courses stop – loop control statements (break, continue, pass), sets and dictionaries, exception and file handling, recursion, OOP (classes, inheritance, polymorphism), and a genuinely substantial algorithms section covering Big O notation, binary search, and five sorting algorithms including merge sort and quicksort with full implementations.

Course details

1 hour 33 minutes across 22 lectures in 7 sections. It’s built by AlgoSTEM, a nonprofit ed-tech organization, and includes practice questions and quizzes after nearly every section, taught using PyCharm.

What I like

The searching and sorting section is genuinely rare to find for free. Most intermediate Udemy courses stop at OOP, but this one walks through Big O notation and implements five different sorting algorithms with time-complexity analysis, which is exactly what technical interviews test.

Best for

Learners who’ve finished a beginner Python course and want to build toward coding interviews or competitive programming.

What you’ll learn

This course covers dictionaries (including real text-parsing exercises using word-frequency counting), tuples, regular expressions with the re module, and an introduction to object-oriented programming, all built around exercises drawn from a university-affiliated textbook.

Course details

1 hour 50 minutes across 12 lectures in 6 sections. The curriculum is inspired by University of Michigan Professor Charles Severance’s well-known “Python for Everybody” course, and includes Discord community access for direct instructor questions.

What I like

The dictionary and regex exercises use real-world text parsing (like counting word frequencies from a Romeo and Juliet text file) instead of toy examples, which makes the practice genuinely more useful than most beginner exercises. Community access for asking instructors questions directly is also a standout feature rarely offered in free courses.

Read Also: 10 Best SQL Courses for Beginners That Are Actually Worth It

Best for

Learners already partway through KITE’s Python series, or anyone wanting a university-curriculum-inspired course with real text-based practice exercises.

What you’ll learn

This course starts before “Hello World,” installing Python and setting up PyCharm, VS Code, and Atom. 

Then covers variables, comments, and data types, before spending the bulk of its time on Python strings: over 20 lectures dedicated to individual string methods like capitalize, find, replace, split, and validation methods like isalnum and isdigit.

Course details

1 hour 48 minutes across 37 lectures in 6 sections. The course description discloses that it was built with AI assistance.

What I like

The installation section is unusually thorough, walking through three different editors instead of just one, which genuinely helps beginners who get stuck before writing a single line of code. 

The string-method coverage is also more exhaustive than most beginner courses, breaking down over 15 individual methods with isolated examples.

Best for

Beginners who keep getting stuck on installation, or who want a deep, methodical understanding of Python’s string methods specifically.

What you’ll learn

This course moves quickly from fundamentals (variables, data types, if statements, lists, loops) into applied territory: making HTTP requests with the requests library, reading and writing files, building a basic GUI with tkinter, generating random outputs, compiling Python scripts into .exe files, and even a simple Flask web application.

Course details

1 hour 2 minutes across 21 lectures in 8 sections. It also touches on running Python via the command line on Windows and executing system commands through the os module.

What I like

The breadth of practical application is unusual for a free course this short. Most beginner courses stop at syntax, but this one shows you web requests, file handling, GUIs, and even packaging a script into a standalone executable, giving you a real taste of what Python can actually do.

Best for

Beginners who’ve grasped the basics elsewhere and want a fast tour of what real Python projects, web requests, file handling, GUIs, Flask, actually look like.