Top 5 best Python Courses on Coursera — Start Learning For Free!

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5. Python Classes and Inheritance

University of Michigan / 81,215 already enrolled

This course introduces classes, instances, and inheritance. You will learn how to use classes to represent data in concise and natural ways. You’ll also learn how to override built-in methods and how to create “inherited” classes that reuse functionality. You’ll also learn about how to design classes. Finally, you will be introduced to the good programming habit of writing automated tests for their own code.

The course is best suited for you if you are already familiar with Python fundamentals, which are covered in the “Python Basics” and “Python Functions, Files, and Dictionaries” courses (courses 1 and 2 of the Python 3 Programming Specialization). It is optional to have taken the “Data Collection and Processing with Python” course (course 3 of the specialization), but knowledge of retrieving and processing complex nested data is helpful.

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4. Python Classes and Inheritance

IBM Skills Network / 263,235 already enrolled

Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!

This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:

IBM Data Science Professional Certificate
Applied Data Science Specialization
IBM Data Analyst Professional Certificate

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3. Introduction to Data Science in Python

University of Michigan / 690,366 already enrolled

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating CSV files, and the NumPy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as group by, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.

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2. Python for Data Science, AI & Development

IBM Skills Network / 441,548 already enrolled

Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been a greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.

This course will take you from zero to programming in Python in a matter of hours — no prior programming experience is necessary! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python. You’ll gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career. This course can be applied to multiple Specialization or Professional Certificate programs. Completing this course will count towards your learning in any of the following programs: IBM Applied AI Professional Certificate Applied Data Science Specialization IBM Data Science Professional Certificate Upon completion of any of the above programs, in addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing your expertise in the field.

This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:

IBM DevOps and Software Engineering Professional Certificate
Data Engineering Foundations Specialization
Data Science Fundamentals with Python and SQL Specialization
IBM Data Engineering Professional Certificate
IBM Data Science Professional Certificate
Applied Software Engineering Fundamentals Specialization
Applied Data Science Specialization
IBM Data Analyst Professional Certificate
IBM Full Stack Software Developer Professional Certificate
IBM Applied AI Professional Certificate

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1. Programming for Everybody (Getting Started with Python)

University of Michigan / 2,634,188 already enrolled

This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no prerequisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will cover Chapters 1–5 of the textbook “Python for Everybody”. Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 3.

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