Skill Path: Data Cleaning with Python

We offer a variety of Skill paths under our Premium subscription. These skill-focused paths were designed to help you learn concrete, real-world, data skills as quickly as possible!

Data Cleaning with Python

This beginner-friendly skill path covers the essential Python programming skills required to get started with data cleaning in Python.

You'll use pandas and NumPy (the two most popular open-source Python libraries for data manipulation and analysis) and the fundamentals of data visualization (a useful tool for identifying quality issues with data).

You'll also learn how to manipulate, combine, and reshape data, and how to handle missing values.

With this Skill path, you’ll build the foundation for a powerful new tool in your skillset! 

What material does this path cover?

• The fundamentals of programming in Python
• How to clean and visualize data
• How to combine, transform, and reshape data
• Strategies for working with missing data

This is an abridged version of what you'll learn on this path — to get a more comprehensive look at the Data Cleaning with Python Skill path, you can visit the path page here.