Last updated: 1 November 2026. Written by Josh Hutcheson, OnlineCourseing editor. See our review methodology.
The best Udemy Python course for most people is Dr. Angela Yu’s 100 Days of Code — a project-heavy bootcamp that builds a portfolio while it teaches. If you prefer reference-style depth, Jose Portilla’s Complete Python Bootcamp is the long-standing alternative. The right pick depends on whether you learn by building or by following along.
QUICK VERDICT
Bottom line: Udemy has the deepest catalog of Python courses anywhere, but quality varies wildly. Stick to the handful of instructors below who have been refining the same course for years — and never pay full sticker price.
- Best overall: Angela Yu — 100 Days of Code (project-based, beginner-friendly)
- Best for reference depth: Jose Portilla — Complete Python Bootcamp
- Pricing reality: $10–$20 during Udemy’s frequent sales; rarely worth the listed $100+
- Skip if: you want a recognized credential or live mentorship — Udemy certificates are completion certificates, not accredited qualifications
Browse Python Courses on Udemy →
Disclosure: some links here are affiliate links — if you buy through them we may earn a commission at no extra cost to you. We rank courses on merit and flag where a free or non-affiliate option is the smarter buy.
PREMIUM PICK — IF YOU WILL TAKE MORE THAN ONE COURSE
Zero To Mastery Academy membership. Pick #4 below is Andrei Neagoie’s Complete Python Developer, and Udemy is not its home. On ZTM Academy the same course comes bundled with every other ZTM course, the guided Python Developer career path, the ZTM community and a certificate for each course you finish. A single Udemy course is the cheaper way to test the water; the membership is the better buy the moment you know you will take a second one.
- Who it’s for: anyone planning Python plus a second track (web, data, AI, DevOps), or who wants a structured path instead of a pile of standalone courses
- Skip if: you want one course for $15 — buy it on Udemy in a sale and you are done
- Pricing (verified 1 November 2026): $299/year (billed annually, which ZTM shows as $25/month against a $588 list) or $1,299 lifetime; 30-day money-back guarantee
How we picked these courses
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Udemy lists thousands of Python courses, so a high rating alone tells you little — a course with 2,000 reviews and a course with half a million can both show 4.6 stars. We weighted four things instead: total ratings volume (proof the course has been stress-tested by real learners), how recently the material was updated, how much of the course is hands-on building versus watch-only, and whether the instructor actively maintains it. Ratings, student counts and last-updated dates below were read from each course’s own Udemy page on 1 November 2026, and every course on this list was confirmed still live and enrolling on that date. Udemy figures move constantly, so treat them as a snapshot, not a fixed number — but the last-updated dates are the ones worth acting on, and we print them for every pick below rather than telling you to go and look.
This page is specifically about Udemy. If you haven’t settled on a platform yet, our cross-platform guide to the best Python courses and tutorials compares Udemy against Coursera, DataCamp, and free options side by side.
Best Udemy Python courses at a glance
| Course | Instructor | Rating | Length | Updated | Best for |
|---|---|---|---|---|---|
| 100 Days of Code | Angela Yu | 4.7 (439,282) | ~52 hrs | Oct 2026 | Beginners who learn by building |
| Complete Python Bootcamp | Jose Portilla | 4.6 (567,765) | ~22 hrs | Aug 2025 | Reference-style fundamentals |
| The Modern Python 3 Bootcamp | Colt Steele | 4.8 (31,183) | ~30 hrs | Jun 2026 | Exercise-driven learners |
| Complete Python Developer | Andrei Neagoie (ZTM) | 4.6 (60,813) | ~31 hrs | Oct 2026 | Career-changers wanting modern tooling |
| Machine Learning, Data Science & AI Engineering | Frank Kane | 4.6 (37,007) | ~20 hrs | Aug 2026 | Data science / ML after the basics |
| Automate the Boring Stuff | Al Sweigart | 4.7 (119,712) | ~9 hrs | Feb 2023 | Office workers automating tasks |
| Python Django – The Practical Guide | Maximilian Schwarzmüller | 4.7 (10,779) | ~23 hrs | Nov 2025 | Python → web development |
Ratings, counts and last-updated dates read from each course’s Udemy page on 1 November 2026; approximate (~) lengths are rounded. The bolded date is past the two-year line in our own checklist below; its entry explains why it stays. In September 2026 we replaced the two picks that failed that rule by the widest margin — a 2020 data-science course and a 2019 Django course — with maintained alternatives.
1. 100 Days of Code — Best overall (Angela Yu)
Rating: 4.7 / 5 (439,282 ratings) · Last updated: October 2026 · Length: ~52 hours · Level: Beginner → Intermediate · Best for: people who give up on theory-first courses and need to be building from day one.
Dr. Angela Yu’s 100 Days of Code is the course we point most beginners to. The structure is its strength: one buildable project a day, escalating from simple scripts to web apps, automation, data work, and a touch of machine learning. By the end you have a genuine portfolio rather than a folder of finished tutorials. It is among the most-enrolled Python courses on Udemy: 1,896,851 students and 439,282 ratings at a 4.7 average when we checked on 1 November 2026, and Yu had refreshed the material in October 2026, which makes it one of the two most recently maintained courses here.
The honest take: 52 hours of video is a real commitment, and the “100 days” framing sets an expectation most people miss — treat it as a syllabus, not a calendar. The breadth is also a trade-off: it touches web, automation, and data without going deep on any one. If your only goal is data science, learn the basics and then go straight to the dedicated data-science pick (pick 5).
Check 100 Days of Code on Udemy →
2. Complete Python Bootcamp — Best for fundamentals (Jose Portilla)
Rating: 4.6 / 5 (567,765 ratings) · Last updated: August 2025 · Length: ~22 hours · Level: All levels · Best for: learners who want a tight, well-organized run through the language itself.
Portilla’s Complete Python Bootcamp From Zero to Hero has 567,765 ratings against 2,207,063 students — the most-reviewed course on this list — and holds a steady 4.6, last refreshed in August 2025. At roughly 22 hours it is far more compact than 100 Days of Code, and that’s the point: it is a clean, linear walk through data structures, functions, OOP, decorators, generators, and a set of milestone projects. Many learners use it as a reference they return to rather than a one-time sit-through.
The honest take: it is lighter on large, resume-ready projects than Yu’s course, and a slice of the material still references older Python 2 examples in an appendix. If you want to build things, pair it with a project course; if you want to understand the language cleanly, it is hard to beat.
3. The Modern Python 3 Bootcamp — Best for exercise-driven learning (Colt Steele)
Rating: 4.8 / 5 (31,183 ratings) · Last updated: June 2026 · Length: ~30 hours · Level: Beginner → Intermediate · Best for: people who learn by doing dozens of small coding exercises.
Colt Steele built his reputation on the web-dev bootcamp circuit, and The Modern Python 3 Bootcamp carries the same teaching style: short lessons followed immediately by coding challenges, so you write Python constantly rather than watching someone else write it. The pacing is friendly and the exercise count is high, which is why it is a common Reddit recommendation for people who bounce off lecture-heavy courses.
The honest take: we previously flagged this one as under-maintained, and that is no longer true — Steele refreshed it in June 2026, more recently than Portilla’s Complete Python Bootcamp. Its real limitation is different: with 31,183 ratings it has a much smaller review base than the Yu and Portilla courses, so there is less collective scrutiny behind the score. It also leans general rather than steering you toward a specialism like data or web. What you get in exchange is volume of practice: the course page counts nearly 200 exercises and quizzes, and it now includes a section on using SQL from Python.
RECOMMENDED PARTNER — UDEMY
Most of these courses go on sale for $10–$20
Udemy runs frequent storewide sales, and eligible individual course purchases are covered by a 30-day refund window (Udemy’s refund policy — restrictions apply, and some purchases refund only as credits). Check the live price before you buy — the listed sticker price is rarely what you pay.
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4. Complete Python Developer — Best for modern tooling (Andrei Neagoie / Zero To Mastery)
Rating: 4.6 / 5 (60,813 ratings) · Last updated: October 2026 · Length: ~30 hours · Level: Beginner → Intermediate · Best for: career-changers who want Python plus the surrounding developer toolkit.
Andrei Neagoie’s Complete Python Developer stands out for context: alongside the language it covers things working developers actually use — the command line, Git, web scraping, automation, testing, and a taste of web development with frameworks. It is built to take someone from zero toward employable, and it feeds into Neagoie’s broader Zero To Mastery ecosystem and community.
The honest take: the broad scope means each topic gets an introduction rather than mastery — you will still need follow-up courses to go deep on, say, Django or data science. If you like Neagoie’s teaching, it can be cheaper to take this through a Zero To Mastery membership than as a standalone Udemy purchase; compare both before buying.
Or take it direct: the same course is on ZTM Academy as part of the $299/year membership, alongside Neagoie’s Python Developer career path and every other ZTM course. If this is the instructor you want to keep learning from, that is the better-value route; if you only want this one course, Udemy in a sale is cheaper.
Take It on ZTM Academy Instead →
5. Machine Learning, Data Science & AI Engineering with Python — Best for data science (Frank Kane)
Rating: 4.6 / 5 (37,007 ratings) · Last updated: August 2026 · Length: ~20 hours · Level: Intermediate · Best for: people who can already write some Python and want a current tour of machine learning, from regression to LLM agents.
If your reason for learning Python is data, this is the Udemy course to take once you have the fundamentals down. Frank Kane’s course (published under his Sundog Education banner) runs from the statistics you need first — regression, train/test and k-fold validation, A/B tests with t-tests and p-values — through the classic algorithms (k-means, SVMs, KNN, decision trees, naive Bayes, PCA), a recommender system, neural networks in TensorFlow and Keras, and machine learning at scale with Apache Spark. The August 2026 update carries it into generative AI, with sections on OpenAI, retrieval-augmented generation (RAG) and LLM agents. It has 248,061 students, and of the data courses we considered it is the only one maintained into the current tooling.
The honest take: it is a survey, and a fast one. At about 20 hours it covers a lot of techniques briefly rather than drilling day-to-day pandas work, and the course page is clear that “some prior coding or scripting experience is required.” Its review base (37,007 ratings) is also under a quarter of the course it replaced in this slot, so there is less collective scrutiny behind the 4.6.
Why it replaced the old pick: until September 2026 this slot went to Jose Portilla’s Python for Data Science and Machine Learning Bootcamp, which has the larger review base (4.5 from 161,211 ratings) but was last updated in May 2020. By the two-year rule in our own checklist, six years is too long for machine learning, where the tooling has changed underneath it. Its pandas, NumPy and scikit-learn chapters have aged well, so if what you want is slow, notebook-by-notebook grounding in the data-analysis stack rather than a tour of modern ML, Portilla’s bootcamp is still a reasonable buy — skip its deep-learning sections. If you would rather have a continuously updated, structured path, a track like DataCamp is worth comparing, though it costs more than a one-off Udemy course. Our best data science courses guide compares the options across platforms.
6. Automate the Boring Stuff with Python — Best for non-programmers (Al Sweigart)
Rating: 4.7 / 5 (119,712 ratings) · Last updated: February 2023 · Length: ~9 hours · Level: Beginner · Best for: office workers who want to automate spreadsheets, files, and admin chores.
Based on Al Sweigart’s well-known book of the same name, this short course has a narrow and useful goal: teach just enough Python to automate the repetitive tasks that eat your workday — renaming files in bulk, scraping a web page, filling spreadsheets, sending routine emails. It is the most approachable course on this list for someone who has never programmed and isn’t trying to become a developer.
The honest take: by design it is not a path to a programming job — it skips most computer-science fundamentals. Worth knowing too: the book is free to read online under a Creative Commons license at automatetheboringstuff.com — the same author, the same material, no charge — so buy the course only if you genuinely prefer guided video. (The book has sold over 500,000 copies alongside being free, which tells you something about how well it works.) That is exactly the kind of trade-off we think you should weigh before paying. One more flag, by our own rule: the course was last updated in February 2023, past the two-year line in our checklist. That matters less here than it would for a framework — files, spreadsheets and email automation in core Python change slowly — but expect some library versions and screenshots to look dated, and check the recent reviews for any lesson that no longer runs.
7. Python Django – The Practical Guide — Best for web development (Maximilian Schwarzmüller)
Rating: 4.7 / 5 (10,779 ratings) · Last updated: November 2025 · Length: ~23 hours · Level: Beginner in Django (not in Python) · Best for: learners who can write basic Python and want to build websites with Django.
If Python is your route into web development, this is the Django course we now recommend. Maximilian Schwarzmüller (Academind) builds the framework up in the order you will use it — URLs and views, templates and static files, data and models, the admin, relationships between models, and forms — and ties it together in a blog website you build across the course. There is also a condensed summary path if you want to get something running before going back for the detail. With 68,562 students, a 4.7 rating and a November 2025 update, it is the best-maintained highly rated Django course on Udemy we found. For a comparison beyond Udemy, including Django’s free official tutorial, see our best Django courses guide.
The honest take: it teaches Django 5, and Django’s own download page listed 6.1.2 as the latest official release on 1 November 2026, so expect small differences from current documentation — nothing like the gap in a Django 2-era course, but worth knowing. Its review base (10,779 ratings) is the smallest on this list. And it is a second course, not a first: the course page says “basic Python and web development knowledge (HTML/CSS) is required.” Take one of picks 1–3 first if you are new to Python.
Why it replaced the old pick: until September 2026 this slot went to Jose Portilla’s Python and Django Full Stack Web Developer Bootcamp. It still has the larger review base (4.4 from 52,281 ratings), and its appeal is that it teaches HTML, CSS and JavaScript before Django. But it was last updated in September 2019, in the Django 2.2 era, and web frameworks are the fastest-moving topic on this page. We would not send a beginner to debug a seven-year gap between a course and the framework’s documentation. If you need the front-end basics first, a current HTML and CSS course followed by this one is the better route.
How to vet any Udemy Python course before you buy
The courses above are safe bets, but Udemy’s catalog changes constantly and new ones appear every week. Use this quick checklist on any Python course you’re considering:
- Check the ratings volume, not just the score. A 4.7 from 800 ratings is far less reliable than a 4.6 from 200,000. High volume means the course has survived real scrutiny.
- Read the “last updated” date. Python core changes slowly, but libraries and frameworks (Django, ML tooling) move fast. Anything untouched for two-plus years deserves caution for those topics — and we apply that rule to our own list rather than exempting it: we print the real date on every pick above, including the one that is past it, and we replace a pick when a maintained course of similar quality exists.
- Preview the free lessons. Every Udemy course has free preview videos. Two minutes tells you whether the instructor’s pace and audio quality work for you.
- Filter recent reviews. Sort reviews by most recent and read the critical ones — they surface outdated sections and unanswered Q&A faster than the marketing copy.
- Match the course to your goal. A data-science bootcamp won’t help if you want to build websites, however good it is. Pick for your endpoint, not the highest rating.
What Udemy Python courses actually cost
Udemy’s listed prices are mostly fiction. Individual courses show sticker prices north of $100, but the platform runs storewide sales so often that paying full price is almost always a mistake. In practice, the courses on this list typically sell for somewhere around $10–$20 during a sale, and sales run most weeks. If you land on a course showing full price, wait a few days or check back during the next promotion — verify the live price at checkout before you buy.
Two things protect your money. First, eligible individual course purchases are covered by Udemy’s 30-day refund window — if a course isn’t what you expected, you can request a refund within 30 days. Read the terms rather than assuming: Udemy says “certain restrictions may apply and some purchases may only be eligible for refunds in the form of credits,” and it reserves the right to deny requests it judges to be refund abuse — including where a notable amount of the course has already been consumed or downloaded (Udemy’s refund policy, checked 1 November 2026). (Note this applies to one-off course purchases, not Udemy’s separate subscription plans.) Second, once you buy a course you keep lifetime access, including future updates from the instructor — so a $15 purchase can keep paying off for years.
LOW-RISK TO TRY
A $10–$20 course is one of the cheapest ways to test whether Python is for you — and every Udemy course has free preview lectures, which cost nothing and risk nothing. Preview first, then buy the one that fits. Treat the 30-day refund window as a backstop for a course that genuinely misrepresents itself, not as a free trial: Udemy may decline requests where a notable amount of the course has already been consumed or downloaded (Udemy’s refund policy). Browse the current Python sale →
Once the Python basics are in place, pandas is the next step for working with data. See our guide to the best pandas courses, with ten free and paid picks checked live.
Angela Yu vs Jose Portilla: which Udemy Python course should you take?
These two courses dominate every “best Udemy Python course” thread, and they are both good, so the useful question is which fits how you learn. We read the two course pages side by side on 1 November 2026 and the most-upvoted r/learnpython and r/pythontips threads that compare them.
| 100 Days of Code (Angela Yu) | Complete Python Bootcamp (Jose Portilla) | |
|---|---|---|
| Rating | 4.7 from 439,282 ratings | 4.6 from 567,765 ratings |
| Learners | 1,896,851 | 2,207,063 |
| Video | 52 hours, 604 lectures | 22 hours, 170 lectures |
| Last updated | October 2026 | August 2025 |
| Teaching style | One project a day, escalating to web apps, automation and data | Linear walk through the language, then milestone projects |
| Main tool | PyCharm, a full code editor | Jupyter notebooks |
| Best for | Beginners who stay motivated by building things | Learners who want the language explained cleanly and fast |
What learners say matches the numbers. In the threads we read, people who finish 100 Days of Code credit the daily projects for keeping them going, and the common complaint is pace and breadth: it moves through many libraries without going deep on any. People who switch to Portilla describe his course as more direct and easier to revisit as a reference; the complaint there is that Jupyter notebooks are not what most teams code in day to day. One learner who took both, and went on to a data-analyst job, said the two complement each other: Portilla for the language, Yu for libraries, files and project structure. That is a reasonable plan if a $15 second course is in budget.
Our recommendation is unchanged: start with 100 Days of Code if you have never coded and need momentum, and with the Complete Python Bootcamp if you have some programming background or want to finish in weeks rather than months. Neither will make you employable alone; the projects you build afterward do that.
Are there free Python courses on Udemy?
Yes. Udemy runs a free filter on its Python topic page, and free courses give you the video lessons. Paid courses add a certificate of completion, instructor Q&A and direct messages with the instructor, which is the line Udemy draws itself on its free-course listings. None of the seven picks above is free, and the free Python courses we sampled are short introductions rather than full courses.
Two free routes are worth more than a free Udemy listing. Al Sweigart’s Automate the Boring Stuff with Python (pick 6) is free to read online under a Creative Commons license at automatetheboringstuff.com, and the site says the first 15 videos of the course are free to preview on YouTube. And if you want to try a paid pick for free, every Udemy course has preview lectures, which cost nothing and tell you within ten minutes whether the instructor’s pace suits you. For more, our best free Python courses guide compares the University of Helsinki’s Python MOOC, Python for Everybody and other no-cost options.
Personal Plan or buy one Python course?
All seven picks carry Udemy’s “Subscribe and save” option, which means they are in the Udemy Personal Plan. On 1 November 2026 Udemy’s pricing page listed the Personal Plan “Starting at $13.00 per month,” billed monthly or annually, for more than 28,000 courses, while its new-learner banner offered individual “courses from $14.99.” 100 Days of Code showed $14.99 against a $129.99 list price.
The arithmetic is simple. If you will take one Python course, buy it: you pay once, keep it for life and get the 30-day refund window. If you plan to work through two or three courses in a couple of months, for example 100 Days of Code, then the Django course and Frank Kane’s data course, a subscription can cost less. Udemy states that subscriptions bought on Udemy.com “do not offer a 30-day satisfaction guarantee,” so cancel before renewal if you stop using it.
Frequently asked questions
What is the best Udemy Python course for beginners?
For most beginners, Angela Yu’s 100 Days of Code is the best starting point because it is project-based from day one, which keeps motivation up. If you prefer a shorter, more linear walk through the language, Jose Portilla’s Complete Python Bootcamp is the strongest alternative.
What is the best advanced Python course on Udemy?
The most-reviewed Python courses on Udemy run from beginner to intermediate; none is truly advanced. The most advanced material on this list is in Colt Steele’s Modern Python 3 Bootcamp (pick 3), which goes into decorators, generators and iterators, multiple inheritance and polymorphism, and test-driven development. Past that level, the useful next step is usually a specialism rather than more general Python: Django for web work (pick 7) or machine learning (pick 5).
How much do Udemy Python courses cost?
Listed prices often exceed $100, but Udemy runs frequent storewide sales, so the courses on this list typically sell for roughly $10–$20. Always check the live price at checkout, and wait for a sale if a course is showing full price.
Are Udemy Python certificates worth anything?
Udemy issues a certificate of completion, not an accredited credential — and Udemy says so itself: “Udemy is not an accredited institution. Certificates demonstrate skills and accomplishments, but they cannot be used for formal accreditation” (our Is Udemy accredited? guide quotes the help-center wording). It can show initiative on a resume, but employers weigh the skills and projects you can demonstrate far more than the certificate itself. If you need a recognized qualification, look at university-backed options on platforms like Coursera or edX instead.
Can you get a refund on a Udemy course?
Usually, but it is a refund window with conditions, not an unconditional guarantee. Eligible individual course purchases can be refunded within 30 days. Udemy states that “certain restrictions may apply and some purchases may only be eligible for refunds in the form of credits,” and it may deny requests it judges to be refund abuse — including where a notable amount of the course has already been consumed or downloaded (Udemy’s refund policy). It applies to one-off course purchases, not to Udemy’s separate subscription plans.
Is Udemy better than free Python courses on YouTube?
Free resources can teach you Python perfectly well — the difference Udemy buys you is structure: a single ordered path, built-in exercises, instructor Q&A, and lifetime access to updates. At a $10–$20 sale price, many learners find that structure worth it. If you’re self-directed and disciplined, free can be just as effective.
Should I use Udemy or a platform like Coursera or DataCamp for Python?
Udemy wins on price and breadth of choice; Coursera and DataCamp win on structured progression and recognized credentials, at a higher cost. If you’ve already chosen Udemy, the picks above are the safe bets. If you’re still deciding, our cross-platform Python course guide compares them directly. One more option: if Andrei Neagoie’s course (pick #4) is the one you want, a Zero To Mastery membership at $299/year includes it plus every other ZTM course, which beats buying two or three Udemy courses at full price.
Is Angela Yu’s 100 Days of Code worth it?
Yes, for beginners who learn by building. It is the highest-rated large Python course on Udemy at 4.7 from 439,282 ratings, Yu updated it in October 2026, and it costs about $15 in a sale. Expect 52 hours of video plus the daily projects, so plan on months, not 100 days.
Are there free Python courses on Udemy?
Yes. Udemy has a free filter on its Python topic page. Free courses include the video lessons but not the certificate of completion, instructor Q&A or direct messages that paid courses include. The book behind pick 6, Automate the Boring Stuff with Python, is also free to read online.
Is the Udemy Personal Plan worth it for learning Python?
Only if you will take two or more courses within a few months. All seven picks are in the Personal Plan, which starts at $13.00 a month; a single course was $14.99 on the new-learner offer on 1 November 2026. Subscriptions bought on Udemy.com have no 30-day refund.
Related: Never coded before? Our coding for beginners guide compares Angela Yu’s 100 Days of Code with Michigan’s Python for Everybody, Harvard’s free CS50P and the best free paths, all re-checked in October 2026.
Related guides
- Best Free Python Courses — learn Python for free before you decide to pay
- Best Python Courses and Tutorials — cross-platform comparison if you haven’t chosen Udemy yet
- Udemy Review (2026) — is the platform itself legit and worth it?
- Best Udemy Courses Overall — top-rated picks across every category
- Best Udemy AI Courses — for ChatGPT, machine learning, and generative AI
- Best Udemy Alternatives — other platforms compared
- Coding for High Schoolers — the best classes and free programs for teens
If you’re a complete beginner, start with 100 Days of Code. If you want the fundamentals fast, take Portilla’s Complete Python Bootcamp. Either way, buy on a sale and lean on the 30-day guarantee — it makes trying Python close to risk-free.
Browse Python Courses on Udemy →
Related: Is the Udemy Personal Plan worth it? (2026): buy these outright or take them on the subscription.