25 Best Python Courses You Must Know in 2025 [Free Courses Included]

Are you looking for the Best Python Courses Online? If yes, you are in the right place. In this article, you will find the 25 Best Python Courses.

To gain Python Programming skills, there are numerous programs available. But I have filtered these programs on the following criteria-

Criteria-

1. Rating of these Programs.
2. Coverage of Topics.
3. Engaging trainer and Interesting lectures.
4. Number of Students Benefitted.
5. Good Reviews from various aggregators and forums.

So, without wasting your time, let’s start finding the Best Python Courses. At the end of this article, you will find some best free Python Courses too.

Now, without any further ado, let’s get started-

Best Python Courses

For your convenience, I have divided these courses into different sections. So, let’s start with the best python courses for beginners–

Best Python Courses for Beginners

1. Python for Everybody  – Coursera

Rating– 4.8/5

Provider– University of Michigan

Time to Complete- 8 months

This is one of the most popular and highly enrolled Specialization Programs. 1.7 M students have enrolled in this specialization program. This specialization program will teach you fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language.

Along with that, you will build your own applications for data retrieval, processing, and visualization. This specialization program consists of 5 Courses.

Now, let’s see what skills you will gain after completing this specialization program-

Skills Gain-

1. JSON
2. XML
3. Python Programming
4. Database (DBMS)
5. Python Syntax And Semantics
6. Basic Programming Language
7. Computer Programming
8. Data Structure
9. Tuple
10. Web Scraping
11. Sqlite
12. SQL

Extra Benefits-

• You will earn a Shareable Certificate after completing the specialization Program.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Anyone can enroll in this specialization program. Someone with no programming experience can also enroll in this program.

Interested to Enroll?

If yes, then check out all details here-  Python for Everybody 

2. Crash Course on Python– Coursera

Rating– 4.8/5

Provider- Google

Time to Complete- 31 hours

This course will teach you the Python foundations like writing simple programs in Python using the most common structures. After completing this course, you will write simple programs using Python; figure out how the building blocks of programming fit together and combine all of this knowledge to solve a complex programming problem.

Syllabus of the Course-

• Introduction to Python.
• Basic Python Syntax
• Loops
• Strings, Lists, and Dictionaries
• Object-Oriented Programming (Optional)
• Final Project

Skills Gain-

• Basic Python
• Data Structures
• Fundamental Programming Concepts
• Basic Python Syntax
• Python Programming
• Object-Oriented Programming (OOP)

Extra Benefits-

• You will earn a Shareable Certificate.
• Along with that, you will get Course Videos & Readings, Graded quizzes, and assignments, Taught by top companies and universities.

Who Should Enroll?

• Those who are complete beginners in Python and want to learn the basics of Python.

Interested to Enroll?

If yes, then check out all details here- Crash Course on Python

3. Introduction to Python Programming– Udacity

Time to Complete- 5 Weeks

This is a beginner-friendly free course to learn Python programming from scratch. In this course, you will learn how to represent and store data using Python data types and variables and how to use conditionals and loops to control the flow of your programs.

You will also learn complex data structures like lists, sets, dictionaries, and tuples to store collections of related data. This course is good for those who are beginners in Python.

Interested to Enroll?

If yes, then check out all details here- Introduction to Python Programming

4. Python for Absolute Beginners– Udemy

Rating- 4.5/5

Time to Complete- 4 hours

This Python Course is for beginners. In this course, you will learn the Python basics through video lectures, quizzes, review exercises, and programming challenges.

You will also understand computer science concepts such as flow control and functions. And you will also use Pycharm to write their Python programs.

Extra Benefits-

• You will get a Certificate of completion.
• Along with that, you will get full lifetime access and 66 articles.

Who Should Enroll?

• Anyone can enroll who is interested in programming.

Interested to Enroll?

If yes, then check out all details here- Python for Absolute Beginners

5. Python Programming For Beginners– Udemy

Rating- 4.6/5

Time to Complete- 11.5 hours

This course claims that they will teach Python in 9 Days. In this course, you will learn, how to code if you follow the instructions step by step, one at a time.

This course will help you to develop your logical thinking skills and problem-solving skills and build your confidence with computers and coding. The instructor of this course has the ability to explain tricky concepts in a way that a novice can understand.

Extra Benefits-

• You will get a Certificate of completion.
• Along with that, you will get full lifetime access and 68 downloadable resources.

Who Should Enroll?

• Anyone who wants to learn to program.

Interested to Enroll?

If yes, then check out all details here- Python Programming For Beginners

6. Introduction to Data Science in Python– DataCamp

Time to Complete- 4 hours

This full course is not Free. Only the first chapter of this course is free “Getting Started in Python“. In this chapter, you will learn the basics of Python syntax, load your first Python modules, and use functions to get a suspect list for the kidnapping of Bayes.

Interested to Enroll?

If yes, then check out all details here- Introduction to Data Science in Python

7. Python for Data Science and AI– Coursera

Rating- 4.6/5

Provider- IBM

Time to Complete- 22 hours

This is another beginner-level course for those who want to learn Python for Data Science. This course will give complete basic knowledge of Python.

This course will teach about dictionaries and how they function by storing data in pairs of keys and values and cover the concepts of conditions and branching.

At the end of this course, you will learn the unique ways to collect data by the use of APIs and web scraping.

Extra Benefits-

• You will earn a Shareable Certificate.
• Along with that, you will get Course Videos & Readings, Graded quizzes, and assignments, Taught by top companies and universities.

Who Should Enroll?

• Those who are beginners in Python and want to learn Python for Data Science.

Interested to Enroll?

If yes, then check out all details here- Python for Data Science and AI.

8.  Python Basics for Data Science– edX

Time to Complete- 5 Weeks

This is a beginner-friendly free course to learn Python for data science. In this course, you will learn the Python basics (how to define variables in Python, Sets, conditional statements, and functions), how to operate on files to read and write data in Python, and how to use pandas for data analysis in Python.

Interested to Enroll?

If yes, then check out all details here- Python Basics for Data Science.

9.  The Python Bible™ | Everything You Need to Program in Python– Udemy

Rating- 4.6/5

Time to Complete- 9 hours

This is another perfect Python course for beginners. This course will cover all the important core topics of Python programming in just 9 Hours. And in 9 hours of learning, you will build 11 fun and memorable Python Projects.

In this course, you will learn Variables, Numbers, Strings, Logic and Data Structures, Loops, Functions, and OOP concepts.

Extra Benefits-

• You will get a Certificate of completion.
• Along with that, you will get full lifetime access and 4 articles.

Who Should Enroll?

• Anyone can enroll who is interested in programming.

Interested to Enroll?

If yes, then check out all details here- The Python Bible™ | Everything You Need to Program in Python

10. Automate the Boring Stuff with Python Programming– Udemy

Rating- 4.6/5

Time to Complete- 9.5 hours

This is another course dedicated to beginners. In this course, you will learn basic concepts as well as:

• Web scraping
• Parsing PDFs and Excel spreadsheets
• Automating the keyboard and mouse
• Sending emails and texts
• Etc

Extra Benefits-

• You will get a Certificate of completion.
• Along with that, you will get full lifetime access and 41 downloadable resources.

Who Should Enroll?

• Those who are complete beginners in programming and want to learn Python.

Interested to Enroll?

If yes, then check out all details here- Automate the Boring Stuff with Python Programming

Now, let’s see the best advanced-level python courses–

Best Advanced-Level Python Courses

11. Python 3 Programming Specialization– Coursera

Rating– 4.7/5

Provider- University of Michigan

This is another specialization program offered by the University of Michigan. This specialization explains the fundamentals of programming in Python 3.

This program starts with variables, conditionals, and loops, and gets to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.

After completing this specialization program, you will be able to write programs that query Internet APIs for data and extract useful information from them. This specialization program consists of 5 Courses.

Extra Benefits-

• You will earn a Shareable Certificate after completing the specialization Program.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who are familiar with some other programming language or completed the “Python for Everybody” specialization program.

Interested to Enroll?

If yes, then check out all details here- Python 3 Programming Specialization

12. Learn Intermediate Python– Udacity

Rating- 4.7/5

Time to Complete- 2 months

In this Nanodegree program, you will learn the foundation of Python’s methods to describe data, then dig deeper into functions and functional design, and create strategies for solving problems. 

Then you will work on a Near-Earth Objects project, where you have to produce a program that can inspect and query close approaches of near-Earth objects – moments in the past (or future) at which an asteroid- or comet-like object in space pass quite close to Earth.

After that, you will learn how you can write, structure, and extend your code to be able to support developing large systems at scale. And understand how you can leverage open-source libraries to quickly add advanced functionality to your code and how you can package your code into libraries of your own.

In the end, you will work on the Meme Generator project.

Extra Benefits-

• You will chance to work on real-world projects with industry experts.
• You will get Project feedback from experienced reviewers.
• You will also get Technical mentor support.

Who Should Enroll?

• Those who can write and run basic programming scripts in a terminal that include function definitions and loops.

Interested to Enroll?

If yes, then check out all details here- Learn Intermediate Python

13. Applied Data Science with Python Specialization– Coursera

Rating- 4.5/5

Time to Complete- 5 months ( 7 hours per week)

This specialization program teaches data science through the python programming language. You will get a strong introduction to data science Python libraries, like matplotlib, pandas, nltk, scikit-learn, and networkx.

This course series doesn’t include Statistics needed for Data Science and various Machine Learning algorithms. It only focuses on how to use these algorithms in Python.

If you want to learn Statistics first, then consider the Statistics with Python Specialization. In Statistics with Python Specialization, you will learn important Statistical skills that are required for data science.

Extra Benefits-

1. You will earn a Shareable Certificate.
2. Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

1. This program is not for Beginners. Those who have Intermediate level knowledge in Data Science can Enroll in this program.
2. Or those who have basic python or programming knowledge.

Interested to Enroll?

If yes, then check out all details here- Applied Data Science with Python Specialization

14.  Python for Data Science and Machine Learning Bootcamp– Udemy

Rating- 4.6/5

Time to Complete- 25 hours

This is also one of the most popular courses available at Udemy. This course will teach you how to implement Machine Learning Algorithms. This course will also teach you how to use Pandas for Data Analysis, and Seaborn for statistical plots.

Now, let’s see the topics covered in this course-

Topics Covered-

• Programming with Python
• NumPy with Python
• Using pandas Data Frames to solve complex tasks
• Use pandas to handle Excel Files
• Web scraping with python
• Connect Python to SQL
• Use matplotlib and seaborn for data visualizations
• Use plotly for interactive visualizations
• Machine Learning with SciKit Learn, including:
• Linear Regression
• K Nearest Neighbors
• K Means Clustering
• Decision Trees
• Random Forests
• Natural Language Processing
• Neural Nets and Deep Learning
• Support Vector Machines
• and much more.

Extra Benefits-

• You will get a Certificate of Completion.
• You will also get 13 articles and 5 downloadable resources.
• Along with that, you will get lifetime access to the course material.

Who Should Enroll?-

• Those who have at least some programming experience.

Interested to Enroll?

If yes, then check out the details here- Python for Data Science and Machine Learning Bootcamp

15.  Intro to Machine Learning with PyTorch– Udacity

Rating- 4.7/5

Time to Complete- 3 months (If you spend 10 hours per week)

This is a Nano Degree Program offered by Udacity. In this program, you will learn foundational machine learning techniques to gain more confidence in machine learning. This Nano degree program will provide you with in-depth knowledge of Supervised Learning, Deep Learning, and Unsupervised Learning.

Throughout this Nano degree program, you will work with real-world projects. These projects are built-in relationships with industry experts and top-tier companies.

There are 3 courses in this Nanodegree program. Let’s see the details of the courses-

Courses List-

1. Supervised Learning
2. Neural Networks
3. Unsupervised Learning

Extra Benefits-

• You will get a chance to work on real-world projects with industry experts.
• You will get Project feedback from experienced reviewers and you will also get Technical mentor support.
• Along with that, you will get Resume services, Github review, and LinkedIn profile review.

Who Should Enroll?

• Those who have intermediate-level experience in Python and basic knowledge of probability and statistics.

Interested to Enroll?

If yes, then check out all details here- Intro to Machine Learning with PyTorch

Now, let’s see the Best free Python Courses-

Best Free Python Courses

16. Introduction to Python Programming– Udacity

Time to Complete- 5 Weeks

This is a beginner-friendly free course to learn Python programming from scratch. In this course, you will learn how to represent and store data using Python data types and variables and how to use conditionals and loops to control the flow of your programs.

You will also learn complex data structures like lists, sets, dictionaries, and tuples to store collections of related data. This course is good for those who are beginners in Python.

Interested to Enroll?

If yes, then check out all details here- Introduction to Python Programming

17. Foundations of Data Science: K-Means Clustering in Python– Coursera

Rating- 4.6/5

Time to Complete- 29 hours

This is a free course offered by Coursera, where you will learn the core concepts of Data Science and covers basic mathematics, statistics, and programming skills. In this course, you will implement the K-means algorithm using Python programming. This course is a perfect balance between theory and practice and a good and useful course for learning the basics of data science.

Interested to Enroll?

If yes, then check out all details here- Foundations of Data Science: K-Means Clustering in Python

18. Python For Data Science– Udemy

Rating- 4.4/5

Time to complete- 3hr 55min

This course teaches the Python basics for data science. And this course is good for those who are Data Science, Artificial Intelligence, Machine Learning, and Deep Learning Aspirants. This is not an advanced-level course, but good for understanding the Python basics.

Interested to Enroll?

If yes, then check out all details here- Python For Data Science

19. Learn NumPy Fundamentals (Python Library for Data Science)– Udemy

Rating- 4.6/5

Time to complete- 1hr 49min

This is a short course but very concise and straight on point for understanding the Python library-Numpy. In this course, you will learn What is the use of Numpy, NumPy Arrays, Array Math, Array Indexing, Advanced Indexing, Broadcasting, etc. This course is good for those who are beginners in Python and want to learn Numpy.

Interested to Enroll?

If yes, then check out all details here- Learn NumPy Fundamentals (Python Library for Data Science)

20.  Introduction To Python Programming– Udemy

Rating- 4.4/5

This course will give you a good start as a beginner. This course will almost cover everything you’ll need to know to get started with Python. You will start with the basics of Python, strings, variables, data types, and loops and conditions in Python. This course will also teach you about file manipulation and functions.

In a nutshell, this course is a Quick and complete introduction to Python Programming.

Interested to Enroll?

If yes, then check out all details here- Introduction To Python Programming.

21. Python Core and Advanced– Udemy

Rating- 4.4/5

This course is for beginners who have been looking to obtain a hands-on learning experience with Python. The best part about this course is that provides a lot of exercise problems, programming lectures, PDF notes, and everything is free of cost.

Amazing Right?

In short, this course is good for beginners who are excited to learn a program, even if they haven’t written a single line of code in their entire life and want to start with Python.

Interested to Enroll?

If yes, then check out all details here-  Python Core and Advanced

22.  Python for Absolute Beginners!– Udemy

Rating-4.3/5

This is a great practical approach course for beginners. This course is full of examples and exercises, particularly useful for people coming from different backgrounds with no programming experience.

This course starts from scratch and covers all basics of Python like- lists, dictionaries, and other essential Python data structures. You will also learn functions, modules, and lambda expressions in Python.

In short, it’s a good free online course with 2.5 hours of content.

Interested to Enroll?

If yes, then check out all details here- Python for Absolute Beginners!

23. Python Crash Course for Data Science and Machine Learning– Udemy

Rating- 4.6/5

Time to Complete- 1hr 39min

This is another Free short course on Python for data science. In this course, you will learn the Python fundamentals and syntax for developing data science projects by using Jupiter notebooks. This course covers the following concepts of Python- Variables, Data Types, Lists, Dictionaries, IF and For-Loop Statements, Functions, Classes, Objects, Attributes, and Methods, and Libraries for Data Science Projects.

Interested to Enroll?

If yes, then check out all details here- Python Crash Course for Data Science and Machine Learning

24. Intro to Data Analysis– Udacity

Time to Complete– 6 Weeks

This is a completely free course and a good first step towards understanding the data analysis process. In this course, you will learn the entire data analysis process including posing a question, data wrangling, exploring the data, drawing conclusions, and communicating your findings. This course will also teach Python libraries NumPy, Pandas, and Matplotlib.

You Should Enroll if-

• You are comfortable with Python programming.

Interested to Enroll?

If yes, then start learning- Intro to Data Analysis

25. Data Visualization in Python Masterclass™ for Data Scientist– Udemy

Rating– 4.3/5

Time to Complete- 1hr 48min 

In this free course, you will learn data visualization in Python. In this course, you will learn how to use Matplotlib for Data Visualization. This course will teach you how to create and customize basic 2D charts to tell your story.

You will also learn about subplots and how to create subplots using Matplotlib. Then you will learn the full spectrum of interactive and explorable graphic representations including various plots such as Scatter, Line, Bar, Stacked Bar, Histogram, Pie, etc.

You Should Enroll if-

• You know the basics of Python programming language.

Interested to Enroll?

If yes, then start learning- Data Visualization in Python Masterclass™ for Data Scientist

And here the list ends. I hope these Best Python Courses Online will help you to master Python. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.

Conclusion

In this article, I tried to cover the 25 Best Python Courses Online. If you have any doubt or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

Thank YOU!

Though of the Day…

‘“Live as if you were to die tomorrow. Learn as if you were to live forever.” 

– Mahatma Gandhi