14 Best+Free Data Science with Python Courses Online- [Bestseller 2025]

So you have chosen Python programming for data science? Good Decision! Because Python is one of the most widely used programming languages in the data science field. Python has many packages and libraries that are specifically tailored for certain functions, including pandas, NumPy, scikit-learn, Matplotlib, and SciPy. So if you are looking for the best data science with python courses online, then this article is for you.

In this article, you will find the 14 best data science with python courses online including free courses. And these courses are filtered out on the following criteria-

Criteria-

1. Rating of these Courses.
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 data science with python courses online.

Best Data Science with Python Courses Online

1. Data Science Fundamentals with Python and SQL Specialization– Coursera

Rating- 4.6/5

Provider- IBM

Time to Complete- 6 months(If you spend 4 hours/week)

This is a specialization program, where you will gain foundational skills required for Data Science, including open source tools and libraries, Python, Statistical Analysis, SQL, and relational databases. Throughout this program, you will work on hands-on projects by using real-world data sets.

This is a beginner-level course and has 5 courses. In this specialization program, you will also learn about Relational Database concepts for eg.- SQL, Select statements, sorting and filtering, database functions, accessing multiple tables, etc.

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with this, 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 because this program doesn’t require any prior knowledge.

Interested to Enroll?

If yes, then check it out here- Data Science Fundamentals with Python and SQL Specialization

2. Data Scientist with Python– Datacamp

Time to Complete- 88 hours

This is a career track with 29 courses. If you are looking for a course that will provide all data science information in one place, then this is the best pick for you. This career track begins with Python Programming. You will learn Python from scratch.

After learning Python, you will learn Data Manipulation with pandas, data visualization with matplotlib and Seaborn, statistical thinking in Python, machine learning, and much more. Throughout these courses, you will work on real-world problems.

Who Should Enroll?

• Who is complete beginner in data science, and looking for step by step career track for data science.

Interested to Enroll?

If yes, then check out the details here- Data Scientist with Python

3. Programming for Data Science with Python– Udacity

Time to Complete- 3 months( If you spend 10 hrs/week)

This is a Nanodegree program offered by Udacity. In this Nanodegree program, you will learn how to represent and store data using Python data types and variables. You will also use conditionals and loops to control the flow of your programs.

By using complex data structures like lists, sets, dictionaries, and tuples, you will store collections of related data. You will also learn two powerful Python libraries – Numpy and Pandas.

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?

• Anyone can enroll in this program who has basic computer skills.

Interested to Enroll?

If yes, then check it out here- Programming for Data Science with Python

4. IBM Data Science Professional Certificate– Coursera

Provider- IBM

Rating– 4.6/5

Time to Complete- 10 months (5 hours per week)

This is one of the highly enrolled and highly rated course series. This Professional Certificate from IBM is for anyone who wants to start a career in Data Science with Python.

This program has 9 courses. These 9 courses will cover all Data Science skills start from open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning.

To start Professional Certificate from IBM Program, no prior knowledge of Computer Science and Programming is required. In this certification program, you will work on the following projects-

• Random album generator,
• Predict housing prices,
• Best classifier model,
• Battle of neighborhoods.

Extra Benefits-

1. You will earn a Professional Certificate from Coursera.
2. You will get a Digital Badge from IBM.
3. After completing the Professional Certificate, you will get FREE career resources.

Who Should Enroll?

1. Those who are a beginner, with no prior experience in Data Science.
2. And those who are looking to start a new career, or want to change the current one.

Interested to Enroll?

If yes, then check out all details here- IBM Data Science Professional Certificate.

5. Applied Data Science with Python Specialization– Coursera

Provider- University of Michigan

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 a basic python or programming knowledge.

Interested to Enroll?

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

6. Become a Data Scientist– Udacity

Rating- 4.7/5

Time to Complete- 4 months( If you spend 10 hrs/week)

This is another best Nano-Degree Program offered by Udacity. In this Nanodegree program, you will learn how to solve Data Science Problems using Python Programming, Software Engineering Skills, and Data Engineering skills.

The best thing about Udacity Data Science Nanodegree is that it is more practical than other courses. That means Udacity data science Nanodegree is structured in a way that after every set of courses there is a project that you need to submit.

In this Nanodegree program, you will work on the following projects-

1. Build Disaster Response Pipelines with Figure Eight
2. Design a Recommendation Engine with IBM
3. Data Science Capstone Project

In Data Science Capstone Project, you have to choose from these projects or you can choose any other project.

• Dog Breed Classification( Neural Networks)
• Starbucks( Customer Segmentation)
• Arvato Financial Services (Likely Supervised Learning)
• Spark for Big Data (Customer churn with PySpark)
• Any other project of your choice.

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 are comfortable with the following concepts-

• Python programming, including common data analysis libraries (NumPy, pandas, Matplotlib).
• SQL programming
• Statistics (Descriptive and Inferential)
• Calculus
• Linear Algebra
• Experience wrangling and visualizing data

Interested to Enroll?

If yes, then check out all details here- Become a Data Scientist Program

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

Rating- 4.6/5

Time to Complete- 25 hours

This is one of the best Udemy courses on Data Science with Python. In this course, you will learn how to program with Python, how to create data visualizations, and how to use Machine Learning with Python. You will also learn about Python libraries such as NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, etc.

Along with that, you will learn machine learning algorithms including Linear Regression, K Nearest Neighbors, K Means Clustering, Decision Trees, Random Forests, Natural Language Processing, Neural Nets, and Deep Learning, Support Vector Machines, etc.

Extra Benefits-

• You will get a Certificate of completion.
• Along with that, you will get 5 downloadable resources and Lifetime access to the course material.

Who Should Enroll?

• Those who have some programming experience and want to learn Data science with Python.

Interested to Enroll?

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

8. Python A-Z™: Python For Data Science With Real Exercises!- Udemy

Rating- 4.6/5

Time to Complete- 11 hours

This is another best Udemy course for learning data science with Python. The best part about this course is its step-by-step teaching approach. In this course, you will learn how to code in Python and the core principles of programming language.

Kirill is an awesome instructor and provides a solid understanding of Python programming. Kirill also provides useful tips and explanatory clarifications. Throughout this course, you will solve real-life analytical challenges.

Extra Benefits-

• You will get a Certificate of completion.
• Along with that, you will get Lifetime access to the course material.

Who Should Enroll?

• Those who don’t have prior knowledge or experience in Python programming.

Interested to Enroll?

If yes, then check it out here- Python A-Z™: Python For Data Science With Real Exercises!

9. Statistics with Python Specialization– Coursera

Rating- 4.5/5

Provider- University of Michigan

Time to Complete- 3 months

This specialization program is especially dedicated to statistics. In this program, you will learn basic and intermediate concepts of statistical analysis using the Python programming language.

In this program, you will learn all important concepts like- where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. Along with that, you will work on a variety of assignments that will help you to check your knowledge and ability. 

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with this, 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 have Knowledge of basic Python and High school-level algebra.

Interested to Enroll?

If yes, then check it out here- Statistics with Python Specialization

10. Career Path Data Science with Python– Codecademy

This is a complete career path for data science using Python programming. In this career path, you will begin your learning by understanding the fundamentals of data science and Python programming. Then you will learn data manipulation and data analysis with pandas, data wrangling, statistics basics, and hypothesis testing.

After that, you will learn data visualization to analyze and plot data about GDP and life expectancy and best practices for effectively explaining your analysis. This career path also covers Natural Language Processing, Machine Learning Algorithms( Supervised and Unsupervised), and Foundations of Deep Learning.

Who Should Enroll?

• Those who are a beginner in Data Science Field and want to learn data science with Python.

Interested to Enroll?

If yes, then check it out here- Career Path Data Science.

Free Data Science with Python Courses

11. 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

12. 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

13. 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)

14. 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

And here the list ends. I hope these best data science with python courses online will definitely help you. 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 14 best data science with python courses online. 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