Last updated: August 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 September 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 21 August 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 (433,585) | ~60 hrs | Aug 2026 | Beginners who learn by building |
| Complete Python Bootcamp | Jose Portilla | 4.6 (565,431) | ~22 hrs | Aug 2025 | Reference-style fundamentals |
| The Modern Python 3 Bootcamp | Colt Steele | 4.7 (31,110) | ~30 hrs | Jun 2026 | Exercise-driven learners |
| Complete Python Developer | Andrei Neagoie (ZTM) | 4.6 (60,666) | ~30 hrs | Aug 2026 | Career-changers wanting modern tooling |
| Python for Data Science & ML Bootcamp | Jose Portilla | 4.5 (160,326) | ~25 hrs | May 2020 | Data science / ML starters |
| Automate the Boring Stuff | Al Sweigart | 4.7 (119,476) | ~9 hrs | Feb 2023 | Office workers automating tasks |
| Python & Django Full Stack Bootcamp | Jose Portilla | 4.4 (52,220) | ~32 hrs | Sep 2019 | Python → web development |
Ratings, counts and last-updated dates read from each course’s Udemy page on 21 August 2026; approximate (~) lengths are rounded. Note the two bolded dates: by our own two-year rule below, those courses need the extra scrutiny we give them in their entries.
1. 100 Days of Code — Best overall (Angela Yu)
Rating: 4.7 / 5 (433,585 ratings) · Last updated: August 2026 · Length: ~60 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: 1,868,270 students and 433,585 ratings at a 4.7 average when we checked on 21 August 2026, and Yu had refreshed the material that same month — the most recently maintained course on this list.
The honest take: 60 hours 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, start with Portilla’s dedicated DS bootcamp (pick 5) instead.
Check 100 Days of Code on Udemy →
2. Complete Python Bootcamp — Best for fundamentals (Jose Portilla)
Rating: 4.6 / 5 (565,431 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 565,431 ratings against 2,193,915 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: 4.7 / 5 (31,110 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 31,110 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.
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.
Affiliate partnership — we may earn a commission when you sign up via this link. We only recommend courses we’d send a friend to.
4. Complete Python Developer — Best for modern tooling (Andrei Neagoie / Zero To Mastery)
Rating: 4.6 / 5 (60,666 ratings) · Last updated: August 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. Python for Data Science & Machine Learning Bootcamp — Best for data science (Jose Portilla)
Rating: 4.5 / 5 (160,326 ratings) · Last updated: May 2020 · Length: ~25 hours · Level: Intermediate · Best for: people who already know basic Python and want NumPy, pandas, and scikit-learn.
If your reason for learning Python is data, this is the Udemy course to take after you have the fundamentals down. Portilla covers the standard stack — NumPy, pandas, Matplotlib, Seaborn, scikit-learn — plus a working introduction to core machine-learning algorithms. It has a large, established review base (160,326 ratings) and a 4.5 rating, and the practical, notebook-driven format mirrors how data work actually happens.
The honest take, and it is a big one: this course was last updated in May 2020. That is over six years ago, and by the two-year rule in our own checklist below it is the kind of course we would normally tell you to be careful with. The core pandas, NumPy and scikit-learn workflow it teaches has aged reasonably well — that is why it is still here — but the deep-learning sections predate the current generation of frameworks and tooling entirely, and you should treat them as history rather than instruction. It also assumes you can already write basic Python, so it is the wrong first course for a true beginner. If you want a continuously-updated data path rather than a well-preserved 2020 one, a structured track like DataCamp is worth comparing — though it costs more than a one-off Udemy course.
6. Automate the Boring Stuff with Python — Best for non-programmers (Al Sweigart)
Rating: 4.7 / 5 (119,476 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 licence 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.
7. Python & Django Full Stack Web Developer Bootcamp — Best for web development (Jose Portilla)
Rating: 4.4 / 5 (52,220 ratings) · Last updated: September 2019 · Length: ~32 hours · Level: Beginner → Intermediate · Best for: learners who want to use Python to build websites with Django.
This bootcamp takes the Python-to-web route: it front-loads HTML, CSS, and JavaScript fundamentals before moving into Django, the most established Python web framework. For someone whose end goal is building and deploying web applications — not data analysis — it is the most direct Udemy path that keeps Python at the centre.
The honest take, and please read it before buying: this course was last updated in September 2019 — the Django 2.2 era. Django has since moved through several major releases, and Django’s own download page now lists version 6 as the latest official release. Web frameworks are the fastest-moving thing on this page, so a seven-year-old Django course is a different proposition from a seven-year-old course on core Python syntax: the fundamentals of HTML, CSS and Python it front-loads still hold, but expect the Django sections themselves to diverge from current documentation in ways a beginner will struggle to debug. It stays on this list because it remains the most complete Python-first web path on Udemy and its 4.4 rating across 52,220 ratings reflects people who did finish it — but if web development is your real aim rather than Python specifically, a current full-stack course will serve you better, and we would not fault anyone for skipping this one.
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 two that fail this test.
- 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 August 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 →
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.
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” (Udemy’s own certificate FAQ). 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.
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.