5 Best Free Python courses for Data Science in 2024

Learning Python is important for anyone in the field of data science. It's the go-to programming language for data scientists because of its simplicity and rich features. The demand for Data Scientists who know Python is very high right now. Python is widely used in IT, especially for manipulating data to help businesses make important decisions. In this blog, we'll explore five Python courses that are great for people aiming for a career in data science.

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Why learn Python for Data Science?

Python is a really useful programming language, and it's considered a great choice for starting a programming career because it's easy to learn. It's been around for almost 30 years and is still getting more popular, especially in areas like data science and machine learning.

In recent years, Python has become more popular than other languages like R for analytics and data science competitions. Big companies like Google, Netflix, Facebook, and others use Python for various tasks. What makes Python cool is that it can be used for lots of things like making software, doing scientific research, analyzing data, and building websites. It's flexible, lets you create things quickly, and works well for both small and big projects.

One of the reasons Python keeps growing is its big community of developers. They keep making new tools and packages that make it even more useful.

5 Free Courses to learn Python for Data Science

1. Data Science with Python by Great Learning

Level: Beginner

Duration: 12 Hours

Certification: Free

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Course description:

In this course, you will learn how to use Python to turn data into useful information. Start by learning about statistics with a real-world example. Then, learn how to change data, explore different types of data, and use histograms to see data patterns. This course will teach you how to program in Python and use important tools like NumPy, Pandas, Matplotlib, and Seaborn. You will also learn about regression models, data analysis, and data visualization. Take a quiz to test your knowledge and get a certificate when you finish the course.

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2. Python for Data Science on cognitiveclass.ai provided by IBM

Level: Beginner

Duration: 20 hours

Certification: Free(registration required)

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Course description:

In this beginner-friendly Python course, you'll quickly learn the basics of Python for data science and programming. It's designed for those starting from scratch, and after finishing the course, you'll be able to write your own Python scripts. Plus, you'll be able to do some basic hands-on data analysis using our Jupyter-based lab environment. If you're new to Python and want to learn it, this course is perfect for you.

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3. Learn Python by Kaggle

Level: Beginner

Duration: 5 hours

Certification: Free

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Course description:

This course is for those with some coding experience who want to learn Python for data science. It covers Python basics like syntax, variables, and functions, and introduces concepts like boolean variables, lists, loops, strings, dictionaries, imports, and operator overloading. By the end, you'll be ready to use Python for data analysis.

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4. Python for Data Science Bootcamp by Board infinity

Level: Beginner to intermediate

Duration: 1 week

Certification: Free

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Course description:

This free Python course is designed for beginners who want to learn the basics of Python programming and get a certificate of completion. The course covers three essential tools: Python, NumPy, and Pandas. You will learn how to write your own Python scripts and do basic hands-on data analysis in our Jupyter-based lab.Upon completion of the course, you will earn a certificate of completion. This certificate will demonstrate to your potential employers that you have the skills and knowledge to use Python for data analysis.

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5. Introduction to Data Science in Python on Coursera by university of Michigan 

Level: Intermediate 

Duration: 34 Hours

Certification: Paid, Free to audit

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Course description:

This course covers the basics of Python programming, including techniques like lambdas, CSV file manipulation, and using the numpy library. You'll also learn data manipulation and cleaning using pandas, focusing on key concepts like Series and DataFrame. The course teaches essential functions such as groupby, merge, and pivot tables for effective data analysis. By the end, you'll be able to handle tabular data, clean it, manipulate it, and perform basic inferential statistical analyses. This foundational course is recommended before taking other Applied Data Science with Python courses.

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Conclusion

Learning Python is an important step for any aspiring data scientist, and these five free Python courses are a great place to start. With these courses, you can learn the basics of Python programming, data manipulation, and data analysis. You will also be able to use popular Python libraries such as NumPy, Pandas, and Matplotlib. By the end of these courses, you will be well on your way to a career in data science.