20 Best Free Resources to Learn Python for Data Science in 2024

Python is one of the most widely used programming languages in the data science field. So, if you are looking for some Best Free Resources to Learn Python for Data Science, then this article is for you. In this article, you will find the 20 best free resources to learn python for data science including online courses, books, and YouTube tutorials.

Note- All the resources are completely free, you don’t need to pay a single buck.

So, without wasting your time, let’s start finding the best free resources to learn python for data science.

Best Free Resources to Learn Python for Data Science

Free Online Courses

1. 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

2. 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

3. Intro to Data Science– Udacity

Time to complete- 2 Months

This is another completely free course to learn data science with Python. In this course, you will learn the fundamentals of data science, data wrangling, normal distribution, data visualization, and the basics of MapReduce.

This course is not for beginners and requires previous python programming knowledge and intro-level statistics.

In this course, you will work on a data science project end to end, from analyzing a dataset to visualizing and communicating your data analysis.

Interested to Enroll?

If yes, then check out all details here- Intro to Data Science

4. 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

5. 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

6. 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, and 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)

7. 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

8. 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

Free EBooks

9. Python Data Science Handbook

Author- Jake VanderPlas

About Book-

In this book, you will learn how to use-

• IPython and Jupyter: provide computational environments for data scientists using Python
• NumPy: includes the ndarrayfor efficient storage and manipulation of dense data arrays in Python
• Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python
• Matplotlib: includes capabilities for a flexible range of data visualizations in Python
• Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Where To get this Book?

You can download the Ebook here

10. Data Science from Scratch: First Principles with Python

Author– Joel Grus

About Book

As the book’s name sounds,” Data Science from Scratch”, this book is best for beginners. This book begins with the very basics. And if you don’t have Python Knowledge, then also this is a good book for you.

In this book, you will get a crash course in Python. You will also learn how to implement models such as k nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering.

Where To get this Book?

You can download the Ebook here

11. Python for Data Analysis

Author- Wes McKinney 

About Book-

This book is good for analysts, who are new to Python, and for Python programmers who are new to data science and scientific computing.

This book will first teach you the basics of Python programming. Then it will cover Python’s role in data analysis and statistics. That’s why it is good for beginners in Python. You will learn basic and advanced features in NumPy (Numerical Python). 

Where To get this Book?

You can download the Ebook here

12. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Author- Aurélien Géron

About Book-

This book gives you a hands-on approach to learning by doing. It starts with the more traditional ML approaches (the Scikit-learn part) giving you a great deal of context and practical tools for solving all kinds of problems. This book has an excellent balance between theory/background and implementation.

Where To get this Book?

You can purchase the Book here

Other Tutorials/YouTube Tutorials

13. Python – Data Science Tutorial– TutorialsPoint
14. Python For Data Science Full Course– Edureka (YouTube)
15. Data Science Full Course For Beginners– codebasics (YouTube)
16. Python for Data Science– freeCodeCamp (YouTube)
17. Data Science Tutorial– Great Learning (YouTube)
18. Python for Data Science– Great Learning (YouTube)
19. Python – Data Wrangling– TutorialsPoint
20. Learn Python for Data Science– data36

And here the list ends. I hope these resources will definitely help you to learn and master data science with 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 20 Best Free Resources to Learn Python for Data Science. If you have any doubts or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

Thank YOU!

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Though of the Day…

‘ It’s what you learn after you know it all that counts.’

– John Wooden