Best Python Courses Online in 2026

Python is the most popular programming language in the world. It has held the number-one position on the TIOBE Index since 2021, and its lead continues to grow. The reason is versatility: Python is the default language for data science and machine learning, a major player in web development through frameworks like Django and Flask, and the go-to choice for automation, scripting, and AI applications. Whether you want to build web apps, analyze data, train neural networks, or automate repetitive tasks at work, Python is likely the language you need.

Last updated: April 2026

The career demand backs this up. According to the U.S. Bureau of Labor Statistics, software developer roles are projected to grow 25% through 2032, and Python consistently ranks as the most requested language in job postings across Indeed, LinkedIn, and Stack Overflow’s annual developer survey. The median salary for a Python developer in the U.S. is approximately $120,000 per year, with senior roles at major tech companies paying well above $150,000.

We evaluated over 50 Python courses across six criteria: curriculum depth, instructor quality, hands-on project content, student ratings, price, and career relevance. The list below covers courses for complete beginners through experienced programmers looking to specialize. Here are the best Python courses worth your time and money in 2026.

Quick Comparison: Top Python Courses

This table summarizes the top-rated Python courses by platform, price, difficulty, and who they are best suited for. Scroll down for detailed reviews of each course.

Best Python Courses . Detailed Reviews

1. 100 Days of Code: The Complete Python Pro Bootcamp (Udemy)

Angela Yu’s 100 Days of Code is the highest-rated Python course on Udemy, and for good reason. The course is structured around building one project per day for 100 days, which means you finish with a portfolio of real applications , not just theoretical knowledge. Projects range from simple games and calculators in the first weeks to full web applications with Flask, data analysis with pandas, and GUI programs with Tkinter by the end. The course has over 1 million students enrolled and maintains a 4.7-star rating across 300,000+ reviews.

What you will learn: Python fundamentals (variables, loops, functions, data structures), object-oriented programming, error handling, file I/O, web scraping with BeautifulSoup, web development with Flask, data analysis with pandas, GUI development with Tkinter, working with APIs, and automation scripting. By the end, you will have built projects including a blog website, a stock trading news alert, a habit tracker, and a flight deal finder.

Who it is best for: Complete beginners who learn best by doing. The one-project-per-day structure provides built-in accountability and momentum. Also a strong choice for people who have tried to learn Python before but abandoned the effort — the daily project format keeps you engaged where passive lecture courses often fail.

Pricing: Listed at $84.99, but Udemy runs sales almost every week where courses drop to $14.99–$19.99. Never pay full price. Includes lifetime access and a 30-day money-back guarantee.

Pros:

• 100 projects over 100 days gives you a substantial portfolio by the time you finish
• Covers an unusually broad range of Python applications , web dev, data, automation, GUIs , so you can discover what interests you most
• Angela Yu’s teaching style is clear and engaging, with strong visual explanations of complex concepts

Cons:

• At 60+ hours, the course is a major time commitment — some students burn out before reaching the advanced projects
• The breadth means some topics (especially Flask and data analysis) are covered at an introductory level rather than production depth
• Some of the early projects feel repetitive if you already understand basic control flow

View Course on Udemy

2. The Complete Python Bootcamp From Zero to Hero (Udemy)

Jose Portilla’s Complete Python Bootcamp is one of the best-selling programming courses ever created on Udemy, with over 1.9 million students enrolled. Where Angela Yu’s course emphasizes daily projects, Portilla’s course takes a more methodical approach , he explains every concept thoroughly before moving to exercises. The course covers Python 3 from absolute basics through advanced topics like decorators, generators, and object-oriented programming, with milestone projects spaced throughout.

What you will learn: Python data types and operators, control flow (if/else, loops), functions and scope, object-oriented programming, modules and packages, error handling, decorators, generators, file handling, and working with external libraries. Milestone projects include a Tic Tac Toe game, a Blackjack simulator, and a web scraper.

Who it is best for: Beginners who want a thorough, no-shortcuts explanation of Python fundamentals. Portilla’s teaching style is methodical and detail-oriented , he does not skip steps or assume prior knowledge. This course is also a strong choice if you plan to move into data science afterward, as Portilla’s other courses on pandas, machine learning, and SQL follow the same teaching style and build on this foundation.

Pricing: $14.99–$19.99 during Udemy’s frequent sales (the standard price of $84.99 is rarely paid). Lifetime access and 30-day money-back guarantee included.

Pros:

• Extremely thorough coverage of Python fundamentals — nothing important is glossed over
• Over 22 hours of content with coding exercises, quizzes, and milestone projects
• Portilla’s clear, patient teaching style works especially well for people with no programming background

Cons:

• Narrower scope than Angela Yu’s course , focuses primarily on core Python rather than applications like web dev or data analysis
• The lecture-then-exercise format can feel passive compared to project-driven or interactive courses
• Some sections on advanced Python (decorators, generators) move quickly relative to the beginner-friendly pacing earlier in the course

View Course on Udemy

3. Python for Everybody Specialization . University of Michigan (Coursera)

Dr. Charles Severance’s Python for Everybody is one of the most widely taken programming courses in the world. Originally created as a free open course at the University of Michigan, this Coursera specialization consists of five courses that progressively build your skills from writing your first line of Python through working with databases and web APIs. The series has been completed by over 3 million learners and has a 4.8-star rating — one of the highest on the platform.

What you will learn: Python programming basics, data structures (lists, dictionaries, tuples), working with files and regular expressions, accessing web data through APIs and web scraping, and using databases with SQL and Python. The final capstone project has you build a web application that retrieves, processes, and visualizes data.

Who it is best for: Learners who prefer a structured, university-style curriculum with weekly assignments and graded assessments. Dr. Severance is an experienced classroom teacher, and it shows in the pacing , concepts are introduced gradually and reinforced through practice. This specialization is also a strong choice if you want a recognized university credential on your resume or LinkedIn profile.

Pricing: $49/month through Coursera. Most learners complete the specialization in 4–6 months ($196–$294 total). Each course can be audited for free without the certificate, and the companion textbook is available for free online.

Pros:

• Taught by a genuinely engaging university professor , the explanations are patient and accessible without being condescending
• Covers practical topics (web APIs, databases, web scraping) that many beginner courses skip entirely
• The free textbook and free audit option make this one of the most accessible entry points to Python

Cons:

• The pacing is deliberately slow — experienced learners or those who have programmed in other languages will find the first two courses too basic
• Does not cover object-oriented programming in depth, which is a gap if you plan to work on larger Python projects
• The specialization focuses on data retrieval and processing , it does not cover web development, automation, or machine learning

View Specialization on Coursera

4. Data Analyst with Python Career Track (DataCamp)

DataCamp’s approach to teaching Python is fundamentally different from lecture-based platforms: you write code in your browser from the very first lesson. The Data Analyst with Python career track is a structured sequence of courses that teaches Python specifically through the lens of data analysis , you learn the language by working with real datasets, building visualizations, and performing statistical analyses. The track includes courses on pandas, Matplotlib, Seaborn, and exploratory data analysis.

What you will learn: Python programming fundamentals, data manipulation with pandas, data visualization with Matplotlib and Seaborn, exploratory data analysis, statistical thinking, importing and cleaning data, and writing efficient Python code for data workflows. Each lesson includes hands-on coding exercises that are auto-graded for immediate feedback.

Who it is best for: Learners who want to use Python specifically for data analysis rather than general-purpose programming. DataCamp’s bite-sized lessons (typically 5–15 minutes each) also make it a strong fit if you are learning around a full-time job and can only study in short sessions. If you want to explore the platform further, DataCamp’s Intro to Python for Data Science course is available for free and gives you a good sense of the teaching style.

Pricing: DataCamp Premium costs $25/month (billed annually at $300) or $39/month on a monthly plan. The subscription gives you access to all 400+ courses on the platform, not just this track. A limited free tier lets you take the first chapter of every course.

Pros:

• Interactive coding from minute one — you practice every concept immediately instead of passively watching lectures
• The career track removes guesswork about what to learn next, with a clear progression from beginner to job-ready
• Strong focus on data-specific Python skills (pandas, visualization) that are directly applicable to analyst roles

Cons:

• The browser-based coding environment is simplified compared to working in a real IDE , you may need to practice setting up your own environment separately
• Less depth on general Python programming concepts (OOP, file handling, web development) since the focus is data
• No portfolio project or capstone , you complete exercises but do not build a standalone project you can show employers

Start Learning on DataCamp

5. CS50’s Introduction to Programming with Python — CS50P (edX / Harvard)

CS50P is Harvard professor David Malan’s Python-focused companion to the legendary CS50 computer science course. Where most Python courses teach you syntax and move on, CS50P teaches you to think like a programmer. The course covers Python fundamentals, but with a heavy emphasis on problem-solving methodology, testing, debugging, and writing clean, maintainable code. It is available for free on edX, with an optional verified certificate for $199.

What you will learn: Functions and variables, conditionals, loops, exceptions, libraries, unit testing, file I/O, regular expressions, and object-oriented programming. The course also covers less commonly taught but important topics like code style, documentation, type hints, and how to use third-party libraries from PyPI. Problem sets require you to write code that passes automated tests, mirroring real-world development practices.

Who it is best for: Learners who want a rigorous computer science foundation, not just enough Python to get by. CS50P is more demanding than most beginner courses , the problem sets require genuine problem-solving, not just copying along with an instructor. It is an excellent choice for anyone considering a career in software engineering where Python is just one tool in the toolkit. Also ideal if you have already tried an easier course and want something more challenging.

Pricing: The course content, lectures, and problem sets are completely free. A verified certificate from Harvard costs $199 as a one-time payment. There is no subscription and no time limit.

Pros:

• David Malan is one of the most skilled lecturers in computer science education , the production quality and clarity are exceptional
• The problem sets are genuinely challenging and teach problem-solving skills that transfer beyond Python
• Free access to the full course content, including all lectures, notes, and problem sets

Cons:

• Significantly harder than most beginner Python courses — students without any programming background may struggle with the problem sets
• Focused on programming fundamentals rather than practical applications , does not cover web development, data analysis, or automation
• No guided projects or hand-holding , you are expected to figure out problems independently, which can be frustrating for some learners

View Course on edX

6. Learn Python 3 (Codecademy)

Codecademy’s Learn Python 3 course is one of the most popular starting points for new programmers, and for good reason: you write Python code directly in your browser within minutes of starting. There are no videos to watch and no environment to set up. The course breaks Python into small, digestible lessons where you read a brief explanation, write a few lines of code, and immediately see the result. The free version covers core Python, while the Pro subscription adds projects, quizzes, and certificate of completion.

What you will learn: Python syntax, variables and data types, control flow, functions, lists and dictionaries, loops, string methods, classes and objects, and modules. The Pro version includes additional projects like building a portfolio website generator and a data analysis tool.

Who it is best for: Absolute beginners who find video-based courses intimidating or passive. Codecademy’s interactive format ensures you are actively coding throughout the entire course, which helps build muscle memory for Python syntax. It is also a good choice as a supplementary resource alongside a more comprehensive course — use Codecademy for syntax practice and a video course for deeper conceptual understanding. Read our full Codecademy review for more detail on the platform.

Pricing: The basic Python course is free. Codecademy Pro costs $34.99/month (or $17.49/month billed annually) and includes projects, quizzes, certificates, and access to all Codecademy content.

Pros:

• No setup required , you write real Python code in your browser immediately
• The interactive, bite-sized format makes it easy to fit learning into a busy schedule
• The free version covers enough Python to determine whether programming is right for you

Cons:

• The guided, fill-in-the-blank style can create a false sense of confidence , you may find it harder to write code from scratch without the prompts
• Less depth than video-based courses — concepts are explained briefly and some learners need more context
• The free version does not include projects or a certificate, limiting its value for job seekers

Read Our Codecademy Review

7. Google IT Automation with Python Professional Certificate (Coursera)

Google’s IT Automation certificate is designed for a specific audience: IT professionals, system administrators, and support specialists who want to use Python to automate their work. The program consists of six courses covering Python programming, interacting with the operating system, version control with Git, troubleshooting and debugging, configuration management with Puppet, and automating real-world IT tasks. It was developed by Google and is taught by Google employees.

What you will learn: Python programming basics, using Python to interact with the operating system (file management, process management, log parsing), version control with Git and GitHub, debugging and troubleshooting techniques, configuration management and automation at scale, and a capstone project where you automate a real IT workflow. The course also covers regular expressions and bash scripting alongside Python.

Who it is best for: IT professionals, system administrators, and help desk technicians who want to automate repetitive tasks and advance their careers. This is not a general-purpose Python course , it is specifically tailored for people who work in IT operations and want to add programming skills to their toolkit. It is also a strong choice if you have already completed Google’s IT Support Professional Certificate and want to take the next step.

Pricing: $49/month through Coursera. Most learners complete it in 6–8 months ($294–$392 total). Individual courses can be audited for free. Financial aid is available.

Pros:

• Directly applicable to IT careers , the skills taught match what employers expect from IT automation roles
• The Google name carries weight on a resume, and completers gain access to Google’s employer consortium
• Covers Git, debugging, and configuration management — practical skills most Python courses ignore

Cons:

• Not suitable as a general Python course , the IT-specific focus means you will not learn web development, data analysis, or machine learning
• Some students report that the Puppet configuration management course feels outdated compared to modern tools like Ansible or Terraform
• The 6–8 month timeline and $49/month subscription means the total cost can exceed $300

View Certificate on Coursera

8. Automate the Boring Stuff with Python (Udemy)

Al Sweigart’s Automate the Boring Stuff is based on his popular free book of the same name and teaches Python through the lens of practical automation. Instead of building traditional programming projects, you learn to automate everyday tasks: renaming files in bulk, scraping websites, filling out online forms, sending emails, manipulating spreadsheets, and working with PDFs. The course is intentionally designed for non-programmers , office workers, analysts, researchers, and anyone who spends too much time on repetitive computer tasks.

What you will learn: Python fundamentals, working with strings and files, web scraping with requests and BeautifulSoup, manipulating Excel spreadsheets with openpyxl, working with PDF and Word documents, sending emails and text messages, scheduling tasks, and controlling the mouse and keyboard with Python. Each chapter focuses on a specific type of automation task.

Who it is best for: Non-programmers who want to use Python as a productivity tool rather than pursuing a career in software development. If you spend hours on repetitive tasks — renaming files, copying data between spreadsheets, generating reports , this course shows you how to automate those workflows. It is also a good complement to a more traditional Python course, since the practical focus helps reinforce fundamentals through real use cases.

Pricing: $14.99–$19.99 during Udemy sales. The author also periodically offers free coupon codes through his website, making this one of the most accessible paid Python courses available. The companion book is free to read online at automatetheboringstuff.com.

Pros:

• Immediately practical , you can apply what you learn to your own work tasks from the first few chapters
• Written for non-programmers, with no assumption of prior technical knowledge
• The free companion book means you can preview every chapter before deciding to buy the video course

Cons:

• Does not cover data structures, algorithms, or computer science concepts — this is a practical automation course, not a programming foundations course
• The scope is narrower than bootcamp-style courses , you will not learn web development, data science, or object-oriented programming in depth
• Some of the libraries covered (like openpyxl for Excel) have a learning curve that the course covers quickly

View Course on Udemy

Best Free Python Courses

You do not need to spend money to start learning Python. Several high-quality courses are available at no cost, and they are genuinely good , not watered-down teasers for paid content.

CS50P (Harvard/edX) is the standout free option. The entire course — lectures, problem sets, and notes , is free to access. You only pay if you want the verified certificate. It is more rigorous than most paid beginner courses.

Python for Everybody (Coursera) can be audited for free, which gives you access to all video lectures, readings, and some assignments without the graded components or certificate. The companion textbook is also free online.

Codecademy’s Learn Python 3 free tier covers core Python syntax and is a good way to test whether interactive coding suits your learning style before committing to a Pro subscription.

Automate the Boring Stuff has its full textbook available for free at automatetheboringstuff.com, and the author periodically distributes free Udemy coupon codes through his website and Reddit.

Google’s Python Class is a free, self-paced course from Google designed for people with some programming experience who want to pick up Python. It includes lecture videos, written materials, and coding exercises.

We have a dedicated guide that goes deeper on free options: Best Free Python Courses Online. If budget is a primary concern, start there.

Python for Different Career Paths

Python is used across many fields, but the specific skills and libraries you need vary significantly depending on your career goal. Here is how to focus your Python learning based on where you want to end up.

Data Science and Analytics

Data science is Python’s largest use case. You will need to learn pandas for data manipulation, NumPy for numerical computation, Matplotlib and Seaborn for visualization, and scikit-learn for machine learning. Start with one of the general Python courses above, then move to a dedicated data science program. Our best data science courses guide covers the top options for this path.

Web Development

Python powers web applications through frameworks like Django (used by Instagram, Pinterest, and Mozilla) and Flask (used for smaller applications and APIs). After learning Python fundamentals, you will need to learn HTML, CSS, and JavaScript alongside your chosen framework. Our best Django courses guide covers the top Python web development training, and our web development courses roundup covers the full stack.

AI and Machine Learning

Python is the default language for AI and machine learning, powering major frameworks like TensorFlow, PyTorch, and Hugging Face Transformers. After learning Python fundamentals and basic data analysis, you will want to study machine learning theory and practice. Our best machine learning courses guide covers the progression from beginner to advanced ML engineering.

Automation and Scripting

Python is widely used for automating repetitive tasks , file management, web scraping, report generation, data entry, and system administration. Automate the Boring Stuff (reviewed above) is the best starting point for this path. Google’s IT Automation with Python certificate is the best option if you specifically work in IT operations and want a credential alongside the skills.

How to Choose the Right Python Course

With dozens of Python courses available, the right choice depends on four factors: your experience level, your career goal, your learning style, and your budget.

Match the Course to Your Starting Point

If you have never written a line of code, start with Angela Yu’s 100 Days of Code, Jose Portilla’s Complete Python Bootcamp, or Python for Everybody on Coursera. These courses assume zero prior knowledge. If you have programmed in another language and want to pick up Python quickly, CS50P or a focused course like DataCamp’s Python track will move at a pace that respects your existing knowledge.

Consider Your End Goal

If you want to become a data scientist, start with a general Python course then move to a data-specific program on DataCamp or Coursera. If you want to build web applications, learn Python fundamentals then study Django or Flask. If you want to automate your current job, Automate the Boring Stuff or Google’s IT Automation certificate are the most direct paths. Do not try to learn everything at once — pick one application area and go deep.

Choose a Format That Fits

Video lectures work well if you like seeing concepts explained visually (Udemy, Coursera). Interactive coding works well if you prefer learning by doing (DataCamp, Codecademy). University-style courses with assignments and deadlines work well if you need external structure (CS50P, Coursera specializations). There is no objectively best format , the best course is the one you will actually finish.

Be Realistic About Budget

Udemy courses at $15–$20 on sale offer the highest value per dollar. Free options like CS50P and Python for Everybody are genuinely excellent. Subscription platforms (DataCamp at $25/month, Coursera at $49/month) make sense only if you will study consistently , a subscription you barely use costs more per lesson than buying a Udemy course outright.

See also: DataCamp vs Codecademy

Related Course Roundups

Python is a foundation for many specialized fields. These guides cover the best courses for specific topics you may want to study after learning Python:

• Best Data Science Courses — Machine learning, statistics, and data analysis
• Best Machine Learning Courses . Algorithms, model building, and applied ML
• Best Django Courses . Python web development with Django
• Best Pandas Courses — Data manipulation with Python’s most important library
• Best SQL Courses . Database querying, essential alongside Python for data roles
• Best JavaScript Courses . Frontend and full-stack development
• Best Web Development Courses — Full-stack, frontend, and backend paths
• Best Data Analysis Courses . Analytics, reporting, and business intelligence

Frequently Asked Questions

How long does it take to learn Python?

Most people can learn Python fundamentals , variables, data types, control flow, functions, and basic data structures — in 4 to 8 weeks of consistent study at 1 to 2 hours per day. Reaching a level where you can independently build useful programs or scripts typically takes 3 to 6 months. Becoming job-ready as a Python developer, including understanding of frameworks, testing, and software design patterns, generally takes 6 to 12 months. The timeline depends on your starting point, how many hours per week you study, and which application area you are targeting.

Is Python enough to get a job?

Python alone is usually not enough to land a job , you need Python plus domain-specific skills. For data science roles, you need Python combined with SQL, statistics, and machine learning. For web development, you need Python plus a web framework (Django or Flask), HTML/CSS, and JavaScript. For DevOps and automation roles, you need Python plus cloud platforms, Linux, and CI/CD tools. Python is the foundation, but employers hire for the ability to solve specific problems, not for knowledge of a single language.

Should I learn Python 2 or Python 3?

Learn Python 3. Python 2 reached end of life in January 2020 and no longer receives security updates. All major libraries, frameworks, and tools have moved to Python 3. No new projects are started in Python 2, and virtually all job postings that mention Python are referring to Python 3. Every course on this list teaches Python 3. If you encounter Python 2 code in an old codebase at work, the differences are minor and well-documented , you can learn them in an afternoon.

What can I build with Python?

Python is used to build web applications (Django, Flask), data analysis pipelines (pandas, NumPy), machine learning models (scikit-learn, TensorFlow, PyTorch), automation scripts (file management, web scraping, report generation), APIs and backend services, desktop applications (Tkinter, PyQt), game prototypes (Pygame), and scientific computing tools. Companies like Instagram, Spotify, Netflix, Dropbox, and Reddit use Python extensively in their production systems.

Is Python good for beginners?

Python is widely considered the best programming language for beginners. Its syntax reads close to plain English, it does not require semicolons or curly braces that trip up new programmers in languages like Java or C++, and it has a large, beginner-friendly community. Most university introductory programming courses have switched to Python, and the language’s versatility means you can explore multiple career paths (data, web, automation, AI) without learning a new language.

Python vs JavaScript — which should I learn first?

If you want to work in data science, machine learning, automation, or scientific computing, learn Python first. If you want to build websites and web applications, learn JavaScript first , it is the only language that runs natively in web browsers and is required for frontend development. If you are unsure about your direction, Python is generally the safer first language because it is used across more domains and has a gentler learning curve. Many developers eventually learn both, since they serve different purposes with minimal overlap.

Related Data Science Content

• Best Data Science Programs
• Machine Learning Courses
• Data Engineering Courses
• SQL Courses
• Tableau Courses
• Power BI Courses