Top 7 Python Courses on Udemy for Beginners in 2026

Python remains the most in-demand language for breaking into tech: it's used in web development, data analysis, automation, and machine learning. Udemy has thousands of Python courses — this selection rounds up proven options for getting started, chosen for their rating, reviews, and how current the material is.

How we chose these courses

Three criteria decided whether a course made the list:

• Rating and reviews — at least 4.5 stars and tens of thousands of ratings. On Udemy, this is the main quality signal.
• Freshness — the course has been updated in the last year or two. Python itself changes slowly, but its ecosystem (tools, libraries) moves fast.
• Hands-on practice — the course is built around projects, not a read-through of the documentation.

Complete courses: zero to confident

100 Days of Code: The Complete Python Pro Bootcamp

The most popular Python course on Udemy — over 60 hours of content from Angela Yu. The format is "100 days, 100 projects": a small topic each day plus mandatory practice, ranging from simple scripts to Flask web apps, automation, and the basics of Data Science.

Who it's for

Absolute beginners who need structure and discipline — the challenge format helps you stick with it. Listening comprehension in English helps, but the code and slides are clear even without it.

The Complete Python Bootcamp From Zero to Hero

A course by José Portilla — a Udemy classic with over a million students. More compact than "100 Days": core syntax, OOP, decorators, generators, working with files, and final game projects.

Who it's for

Anyone who wants to cover the fundamentals faster and then pick a specialization separately — web, data, or automation.

Python courses in your native language

If English is still a barrier, Udemy has solid Python-from-scratch courses in many other languages, including Russian. Look for a rating of 4.5+ and recent reviews: a good non-English course covers the same fundamentals — syntax, OOP, working with libraries, and first projects.

Who it's for

Beginners who feel more comfortable learning in their native language — how fast you absorb the material matters more than "getting used to English" right at the start.

Specialization: automation and data

Automate the Boring Stuff with Python

A course by Al Sweigart, based on the book of the same name. Instead of academic theory, it solves everyday problems: parsing a thousand files, scraping data from a website, automating Excel reports, and sending emails.

Who it's for

Anyone who isn't aiming to become a developer but wants to save hours of repetitive work: marketers, analysts, managers.

Python for Data Science and Machine Learning

Another course by José Portilla — an entry point into data analysis: NumPy, Pandas, visualization, and the basics of machine learning with scikit-learn. After finishing it, you'll have a clear sense of where to go next in Data Science.

Who it's for

Anyone who already knows basic Python and is aiming for analytics or ML. Starting here without the basics isn't recommended.

How to buy a Udemy course when direct payment isn't available

Udemy doesn't accept Russian cards directly, but it's solvable in a couple of minutes: paste the course link into ForUdemy's homepage, check the price, and pay by card, SBP, or cryptocurrency — the gift code arrives by email, and the course stays in your library forever. For a full breakdown of every method, see the payment guide.

Where to start right now

1. Pick one course — for absolute beginners, the best starting point is "100 Days of Code" or an equivalent course in your language.
2. Practice at least 30–40 minutes every day: consistency matters more than session length.
3. Type the code yourself instead of watching videos passively — without practice, the material won't stick.

For more Python courses with descriptions and current prices, see the Python courses page.