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Best Udemy Python Courses (2026): Worth-Your-Money Picks

· 6 min read
Yassine El Haddad
Yassine El Haddad
Software & AI Engineer · Independent Scrimba Reviewer

Last updated:

Best Udemy Python Courses (2026): Worth-Your-Money Picks, Scrimba Guide Courses

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Scrimba's Learn Python is a strong interactive starting point, and Python shows up across the AI Engineer Path when you need it for LLM tooling. If you specifically want a Udemy course because you prefer a long-form video bootcamp, or because the project-a-day format motivates you, three Udemy Python courses are genuinely worth the money in 2026.

Python is one of the better-served topics on Udemy. The top instructors maintain their courses, and the popular ones really are popular for a reason. The risk is more about fit (data science vs. web vs. automation) than quality.

How we filtered​

  • Python 3.10+ in the syllabus, not Python 2 leftovers
  • Virtual environments (venv, poetry, or pipenv) introduced before pip-installing globally
  • At least one non-trivial graded project
  • "Last updated" within 12 months
  • Instructor responsive in Q&A

1. 100 Days of Code: The Complete Python Pro Bootcamp by Dr. Angela Yu​

  • Rating: 4.7 stars, 500,000+ ratings (one of the highest-rated courses on Udemy in any category)
  • Length: ~60 hours of video across 100 daily projects
  • Last updated: maintained continuously by the London App Brewery team
  • Projects: 100 of them. A few highlights: a Hangman game (day 7), a Snake game in turtle (day 21), a Tinder-for-investments tool (day 33), a Selenium Twitter bot (day 47), a Flask blog with authentication (day 69), a stock-trading data analysis (day 87), Google Trends scraping (day 92), and a final ML capstone
  • Best for: beginners who learn by doing and want a structured commitment device. The "one project per day" framing is the single most effective motivation pattern on Udemy
  • Link: 100 Days of Code on Udemy

Angela is one of the rare Udemy instructors whose pacing genuinely fits the curriculum. The course gets you from "what is a variable" through Flask, web scraping, automation, and a small ML touch in a single arc. Frequently on sale for under $20. If a friend asks for one Python course recommendation, this is the safe answer.

2. The Complete Python Bootcamp From Zero to Hero in Python by Jose Portilla​

  • Rating: 4.6 stars, 522,000+ ratings, 1.5M+ enrolled
  • Length: ~22 hours of video
  • Last updated: ongoing minor refreshes
  • Projects: three portfolio projects plus dozens of coding exercises (a Blackjack game, a Tic-Tac-Toe, and a final web-scraping project working with PDFs, emails, Excel files, and images)
  • Best for: people who already program in another language and want a fast, dense Python tour without 100 days of pacing. Also the standard prerequisite to Jose's data science track
  • Link: The Complete Python Bootcamp on Udemy

Jose is the most prolific Python-on-Udemy instructor and his Pierian Training company maintains the course. The Bootcamp is the entry point; if you like his style, his Python for Data Science and Machine Learning Bootcamp is the natural follow-up.

3. Python for Data Science and Machine Learning Bootcamp by Jose Portilla​

  • Rating: 4.6 stars, 145,000+ ratings
  • Length: ~25 hours of video
  • Last updated: maintained
  • Projects: notebook-based projects across pandas, NumPy, Matplotlib, Seaborn, scikit-learn (linear regression, logistic regression, KNN, decision trees, SVM, K-means, PCA), a small NLP project, and a TensorFlow/Keras deep learning intro
  • Best for: learners whose Python end-goal is data work, not web apps. Pairs naturally after his Bootcamp or after Angela Yu's first 30 days
  • Link: Python for Data Science and Machine Learning Bootcamp on Udemy

A note on Dr. Charles Severance ("Dr. Chuck"): his "Python for Everybody" specialization lives on Coursera and Free Code Camp, not Udemy. If that is what you wanted, you are on the wrong marketplace. Coursera ships it as a five-course audit-free sequence.

Honest caveats​

  • Pick by goal, not by popularity. Angela Yu and Jose Portilla are both bestsellers, but they teach different end-states. Angela points you at general-purpose Python and a bit of web. Jose points you at data work. Buy the one whose final project looks like your goal.
  • Notebooks are not production Python. Jose's data science course teaches Jupyter; that is correct for the topic, but you will still need to learn modules, packaging, and pyproject.toml if you want to deploy anything.
  • Frequently on sale for under $20. Never pay full list price; wait 48 hours for a discount.

Or stay in Scrimba's curated path​

If you are learning Python because you want to build AI apps in JavaScript, you may not need a long Python bootcamp at all. Scrimba's AI Engineer Path is built around JS-first agents, RAG, and MCP, with Python introduced only where it pays off. And if you want a short, interactive intro to the language itself, Learn Python on Scrimba is the lightweight option.

References​

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