7 Best Udemy Python Courses in 2026 (Honest Picks + Who Each Is For)
Last updated: May 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.
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 and student counts below were read from each course's Udemy page and are accurate as of May 2026; Udemy figures move constantly, so treat them as a snapshot, not a fixed number.
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 | Best for |
|---|---|---|---|---|
| 100 Days of Code | Angela Yu | ~4.7 | ~60 hrs | Beginners who learn by building |
| Complete Python Bootcamp | Jose Portilla | 4.6 (561k ratings) | ~22 hrs | Reference-style fundamentals |
| The Modern Python 3 Bootcamp | Colt Steele | ~4.7 | ~30 hrs | Exercise-driven learners |
| Complete Python Developer | Andrei Neagoie (ZTM) | ~4.6 | ~30 hrs | Career-changers wanting modern tooling |
| Python for Data Science & ML Bootcamp | Jose Portilla | 4.6 (~157k ratings) | ~25 hrs | Data science / ML starters |
| Automate the Boring Stuff | Al Sweigart | ~4.6 | ~9 hrs | Office workers automating tasks |
| Python & Django Full Stack Bootcamp | Jose Portilla | ~4.4 | ~32 hrs | Python → web development |
Ratings and counts are a May 2026 snapshot from each course's Udemy page; approximate (~) figures are rounded where the live count fluctuates day to day.
1. 100 Days of Code — Best overall (Angela Yu)
Rating: ~4.7 / 5 · 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, with well over a million students and several hundred thousand ratings sitting in the high-4s.
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 (561,000+ ratings) · 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 over half a million ratings — one of the most-reviewed Python courses on the platform — and holds a steady 4.6. 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 · 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: it has not been refreshed as aggressively as Yu's or Portilla's courses, so check the "last updated" date before buying. The content is still current for core Python, but it leans general rather than steering you toward a specialism like data or web.
RECOMMENDED PARTNER — UDEMY
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4. Complete Python Developer — Best for modern tooling (Andrei Neagoie / Zero To Mastery)
Rating: ~4.6 / 5 · 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.
5. Python for Data Science & Machine Learning Bootcamp — Best for data science (Jose Portilla)
Rating: 4.6 / 5 (~157,000 ratings) · 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 and a 4.6 rating, and the practical, notebook-driven format mirrors how data work actually happens.
The honest take: it assumes you can already write basic Python, so it is the wrong first course for a true beginner. The deep-learning sections are also showing their age relative to current frameworks. For a more guided, continuously-updated data path, 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: ~4.6 / 5 · 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 version is free to read online, so buy the course only if you prefer guided video. 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 · 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: this is the most update-sensitive course on the list. Web frameworks move quickly, and some students report sections that lag the current Django release. Confirm the "last updated" date and skim recent reviews before buying — and if web development is your real aim, a dedicated, current full-stack course may serve you better than a Python-first 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.
- 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, every individual course purchase is covered by Udemy's 30-day money-back guarantee — if a course isn't what you expected, you can request a refund within 30 days. (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 backed by a 30-day refund is one of the cheapest ways to test whether Python is for you. Buy one, give it a genuine week, and request a refund if it doesn't click — you're only out your time. 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. 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?
Yes. Individual course purchases come with a 30-day money-back guarantee, so you can request a refund within 30 days if the course isn't right for you. This guarantee 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.
Related guides
- 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
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 →
