Before you choose a course, zoom out: our 10 best online learning platforms explains where Coursera, Udemy, Codecademy, and others fit. If you are deciding between marketplaces, Coursera vs Udemy is the comparison I wish I had read first. And if you want $0 paths before you pay, see best free online courses.
Quick picks at a glance
| Course | Platform | Rough cost (2026) | Pace | Best for |
|---|
| Python for Everybody | Coursera / U Mich | Free audit; cert ~$49–59 | Several weeks part-time | Foundations + data + APIs |
| 100 Days of Code | Udemy | Sale ~$12.99–39.99 | 100 days (flexible) | Project streak + portfolio |
| Learn Python 3 | Codecademy | Free tier + Pro ~$34.99/mo | Self-paced | Absolute beginners |
| Introduction to Python | DataCamp | ~$25/mo Standard (annual deals) | Hours to days | Data-first Python |
| CS50’s Introduction to Programming with Python | edX / Harvard | Free audit; cert ~$199–249 | University-term feel | Rigorous thinking |
| Google IT Automation with Python | Coursera | Coursera Plus ~$59/mo annual or cert bundle fees | Multi-month | Job-ready IT scripting |
| Automate the Boring Stuff | Book + Udemy | Book ~$40 list; Udemy video often $12.99–29.99 on sale | Self-paced | Practical automation |
Prices vary by region and promotion—confirm at enrollment.
1. Python for Everybody (University of Michigan on Coursera)
Instructor: Dr. Charles Severance (“Dr. Chuck”)
Platform: Coursera
Price (2026): Audit the videos for $0; certificate often around $49–59 per course or bundled in Specialization pricing; Coursera Plus at roughly $59/month (annual billing) covers much of the catalog if you plan multiple programs.
Duration: About 29 hours of material in the standalone course listing, but real beginners should budget 4–8 weeks at a few hours per week.
What you will build: You will move from variables and functions to scraping web data, using APIs, and working with databases—nothing flashy, but foundational.
Pros
- Calm, experienced teaching style
- Connects Python to realistic data tasks early
- Huge alumni community; easy to find study partners
Cons
- Less “shiny app” portfolio pieces than bootcamp-style courses
- Certificate costs add up if you do not use Plus strategically
My take: If you want a university-paced on-ramp without intimidation, start here. It pairs well with later Udemy project courses.
If you are comparing monthly spend, five months of Coursera Plus at effective ~$59/mo annualized is ~$295—stack Dr. Chuck with a Professional Certificate later if employers in your city keyword-search those brands.
2. 100 Days of Code: The Complete Python Pro Bootcamp (Udemy — Angela Yu)
Instructor: Angela Yu
Platform: Udemy
Price (2026): Frequently $12.99–39.99 on sale; ignore list prices near $199.
Duration: Marketed as 100 days; realistically many adults finish key sections over 2–4 months part-time.
What you will build: Games, GUIs, automation scripts, and later sections touch data science and web stacks—breadth over purity.
Pros
- High energy; keeps motivation up
- Huge single purchase—lots of hours per dollar on sale
- Good if you want variety to see what sticks
Cons
- Can feel rushed at day-per-lesson pace
- Some sections age; check recent Q&A for library updates
My take: Buy on sale, do not pressure yourself to hit literal daily streaks if life gets noisy. The value is exposure plus projects you can polish.
At $19 average across three sale courses, you still spend less than one month of many subscriptions—just do not let the cart fill with courses you never open.
3. Learn Python 3 (Codecademy)
Instructor: Codecademy curriculum team
Platform: Codecademy
Price (2026): Free tier for a slice of content; Codecademy Pro around $34.99/month (annual lowers effective monthly).
Duration: Core skill path often 20–30 hours for motivated beginners; spread across a week or two of focused evenings.
What you will build: Small console projects and challenges inside the platform—less “deploy to the internet,” more syntax confidence.
Pros
- Best-in-class interactive editor for nervous starters
- Immediate feedback loops reduce frustration
Cons
- Pro cost stings if you only need one language
- Less narrative depth than Dr. Chuck or CS50
My take: If opening a blank .py file triggers panic, start here, then graduate to Coursera or project courses.
4. Introduction to Python (DataCamp)
Instructor: DataCamp authors (various)
Platform: DataCamp
Price (2026): Standard plans commonly about $25/month on annual-style billing.
Duration: Roughly 4–6 hours for the intro track; you can stretch with exercises.
What you will build: Data manipulation muscle—NumPy/pandas-adjacent thinking early, framed for analytics careers.
Pros
- Exercise-first; great for aspiring analysts
- Smooth browser environment
Cons
- Narrow if you want general software engineering
- Subscription model if you stay long-term
My take: Pick this if your goal is data, not building consumer apps.
5. CS50’s Introduction to Programming with Python (Harvard / edX)
Instructor: David J. Malan and team
Platform: edX
Price (2026): Free to audit; verified certificate often about $199–249 depending on session.
Duration: Harvard-sized—budget 8–12 weeks part-time for mortals.
What you will build: Problem sets that emphasize correctness, style, and computational thinking—excellent if you might study CS formally later.
Pros
- Elite rigor without gatekeeping attitude
- Strong problem-solving discipline
Cons
- Steeper than “gentle intro” options
- Certificate price is real money
My take: If you might apply to jobs saying “self-taught,” CS50P gives you legit problem set stories for interviews.
6. Google IT Automation with Python Professional Certificate (Coursera)
Instructor: Google
Platform: Coursera
Price (2026): Often purchasable per month of access or via Coursera Plus (~$59/mo annualized); individual program fees vary—expect roughly $49–99/month style pricing for certificate pacing in many regions.
Duration: Google advertises about 8 months at 5 hours/week; faster learners compress it.
What you will build: Scripts for real IT workflows—parsing logs, automation, Git, and interacting with systems—excellent if you want ops-adjacent roles.
Pros
- Brand recognition on LinkedIn
- Practical tooling (Git, automation mindset)
Cons
- Overkill if you hate command-line contexts
- Not optimized for pure web app development
My take: Best if your north star is IT, support automation, or junior ops, not necessarily FAANG-style product engineering.
The credential line on LinkedIn matters most when you are pivoting from unrelated work—retail to IT support, admin to automation—where keywords get you past filters. Pair every certificate with tickets closed, scripts shipped, or hours saved you can quantify in interviews.
7. Automate the Boring Stuff with Python (book + optional Udemy video)
Instructor: Al Sweigart (book); video course on Udemy mirrors content
Platform: Book + (optional) Udemy
Price (2026): Book list price around $40 new; ebook deals lower; Udemy video often $12.99–29.99 on promotion.
Duration: Self-paced; 20–40 hours to work through carefully with practice.
What you will build: Scripts that touch files, PDFs, Excel, email-ish tasks—mundane magic that saves hours at work.
Pros
- Extremely practical ROI for office workers
- Friendly tone; assumes zero background
Cons
- Less interview-algorithm focus
- Some libraries change—check errata
My take: If you work in an office job and want Python to earn its keep immediately, this is the most pragmatic path on the list.
How I would sequence these
- Codecademy or Python for Everybody for syntax.
- Automate the Boring Stuff or Google IT Automation if you have a job context.
- 100 Days or CS50P for depth and portfolio/problem sets.
You do not need a fancy setup. Install the latest Python 3.12+ from python.org, use VS Code or Cursor with the official Python extension, and create a virtual environment per project the first week—not month six. If a course teaches in-browser only, still mirror exercises locally so skills transfer off-platform.
Add Git on day ten even if the syllabus waits until week four—recruiters expect a GitHub link long before they care which video course you watched. A messy repo with clear README beats a polished certificate with zero commits.
If you bounce between DataCamp ($25/mo) and Codecademy Pro ($34.99/mo), cancel the one you have not opened in fourteen days—subscriptions quietly outperform Udemy sale prices when neglected.
Mistakes I see beginners repeat
Buying three courses at once during a Udemy sale feels productive; finishing none of them is expensive at any price. Pick one primary track, finish through at least one substantive project you can explain in an interview, then diversify. If you are comparing where to host that learning journey, our platform overview and Coursera vs Udemy comparison keep you from paying twice for the same outcome.
FAQ
What is the best Python course for absolute beginners in 2026?
Python for Everybody if you like lectures; Codecademy Learn Python 3 if you need interactive hand-holding.
Coursera or Udemy for Python?
Coursera for credentials and structure; Udemy for cheap project breadth on sale. See Coursera vs Udemy.
Do I need a certificate to get a Python job?
No—projects matter more. Certificates help some HR filters; use Is Coursera worth it? to decide if paying makes sense.
Can I learn Python free?
Yes—audit MOOCs, use official docs, and grab free tiers. Our free courses guide lists strong $0 entry points across platforms.
Should I learn Python 2 anywhere in 2026?
No—default to Python 3 only. If a course still centers Python 2 without a migration note, treat it as a red flag unless you maintain legacy systems for pay.
How long until I am job-ready?
Depends on role: support scripting might be 3–6 months part-time with Google IT Automation-style content; software engineering usually needs longer, with data structures practice beyond any single beginner course.
Do I need math before Python?
For scripting and web, high school algebra is enough to start. For data science and ML, refresh statistics with Khan Academy or a Coursera stats primer before you drown in formulas—your future notebooks will thank you.