25 Best + Free Python Courses & Certificates [2021]
- 1. Python for Everybody Specialization [Coursera] - Best Overall Course
- 2. Python Tutorial for Beginners by Corey Schafer [YouTube] - Best YouTube Tutorial
- 3. Google's Python Class [Google] - Best Short Course
- 4. Introduction to Computer Science and Programming Using Python [edX]
- 5. An Introduction to Interactive Programming in Python [Coursera]
- 6. Python and Django Full Stack Web Developer Bootcamp [Udemy]
- 7. Learning to program with Python 3 [YouTube]
- 8. Introduction to Python Programming [Udacity]
- 9. Learn Python - Full Course for Beginners [YouTube]
- 10. Python Programmer [DataCamp]
As featured on Harvard EDU, Stackify and Inc - CourseDuck identifies and rates the Best Python Courses, Tutorials, Providers and Certifications, based on 12,000+ student reviews, public mentions, recommendations, ratings and polling 5,000+ highly active StackOverFlow members. Learn more
- Udemy and Eduonix are best for practical, low cost and high quality Python courses.
- Coursera, Udacity and EdX are the best providers for a Python certificate, as many come from top Ivy League Universities.
- YouTube is best for free Python crash courses.
- PluralSight, SkillShare and LinkedIn are the best monthly subscription platforms if you want to take multiple Python courses.
- Independent Providers for Python courses & certificates are generally hit or miss.
Provider
University
Tags
Rating
Duration
Difficulty
Publication Year
Language
2022 Complete Python Bootcamp: From Zero to Hero in Python (2022)
What You'll Learn
- Learn to use Python professionally, learning both Python 2 and Python 3!
- Create games with Python, like Tic Tac Toe and Blackjack!
- Learn advanced Python features, like the collections module and how to work with timestamps!
- Learn to use Object Oriented Programming with classes!
- Understand complex topics, like decorators.
- Understand how to use both the Jupyter Notebook and create .py files
- Get an understanding of how to create GUIs in the Jupyter Notebook system!
- Build a complete understanding of Python from the ground up!
1 )
Python for Everybody Specialization (2014)
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- Developed by the University of Michigan.
- No prerequisites necessary and minimal math is used in the course, making it very beginner friendly.
- Lectures are designed in extremely consumable format that makes it easy for new programmers to progress.
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- Course is extremely beginner friendly and does not delve into more complicated or challenging ideas and problems.
- Assignments border on being too easy to properly develop the skills being taught.
- Students with computer science experience are likely to be bored if not underwhelmed.
2 )
Python Tutorial for Beginners by Corey Schafer (2017)
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- It's on YouTube. That means it's free, and you can go through any segment as often as you like.
- Taught by Corey Schafer, a well-respected coding educator.
- Includes comprehensive tutorial for setting up Python on Mac and Windows.
- Takes first timers through a surprisingly comprehensive process of mastering the fundamentals of Python.
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- It's on YouTube, so interaction with the instructor or peers is limited.
- Average video length is over 20 minutes. It can be a little more difficult to plan lessons around a busy schedule.
- Because the course caters to Mac and Windows, it splits focus and reduces the total amount of relevant content for any one student.
3 )
Google's Python Class (2010)
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- One of the top-ranked classes among Reddit's r/learnpython community.
- Finds a rare balance between theoretical and practical lessons in programming.
- Designed for beginners. Even if this is your first attempt at using Python you can succeed.
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- Not an introduction to computer science in general. Newcomers to Python will be fine, but newcomers to coding in general may struggle.
- Course was developed around Python 2.
- Course is essentially a release of internal Google training documents. Some of the content is dated.
4 )
Introduction to Computer Science and Programming Using Python (2013)
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- Designed to be a first-ever experience with computer science. This is the ultimate beginner-friendly course.
- Designed by MIT.
- Large pool of exercises and supplemental resources to expand the concepts taught in the course.
- Community resources encourage students to help each other.
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- Course is best followed by purchasing the supplemental textbook, raising the overall cost.
- Focuses more on data science than most introductory Python courses.
- This 8-week course might really take 8 weeks to complete.
5 )
An Introduction to Interactive Programming in Python (2013)
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- Two-part split makes it much easier for beginners to break into Python programming.
- A total of 30 hours of course material creates a comprehensive learning experience.
- By focusing on building a game from the ground up, application of the course feels more intuitive and enjoyable than more theoretical teaching methods.
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- Course focuses on peer grading, which can be inconsistent.
- Part 1 focuses more on programming in general than the deeper aspects of using Python specifically.
- Project-focused learning will not suit students who excel in theoretical environments.
6 )
Python and Django Full Stack Web Developer Bootcamp (2022)
What You'll Learn
- Create a fully functional web site using the Full-Stack with Django 1.11
- Learn how to use HTML to create website content
- Use CSS to create beautifully styled sites
- Learn how to take advantage of Bootstrap to quickly style sites
- Use Javascript to interact with sites on the Front-End
- Learn how to use jQuery to quickly work with the DOM
- Understand HTTP requests
- Create fantastic landing pages
- Learn the power of Python to code out your web applications
- Use Django as a back end for the websites
- Implement a full Models-Views-Templates structure for your site
7 )
Learning to program with Python 3 (2018)
Quality Score
Overall Score : 90 / 100
8 )
Introduction to Python Programming (2017)
Quality Score
Overall Score : 99 / 100
9 )
Learn Python - Full Course for Beginners (2018)
Quality Score
Overall Score : 100 / 100
10 )
Python Programmer (2017)
Quality Score
Overall Score : 76 / 100