Python Data Analysis and Visualization

With over 400 billion gigabytes of data out there and more every day, companies are paying top dollar to those who can leverage it. Strong data skills are becoming increasingly valuable - even if you choose not to become a professional data scientist. This path will help you master the skills to extract insights from data using a powerful (and easy to use) assortment of popular Python libraries.

16 hours

151 Lessons

24 Quizzes

314 Playgrounds

12 Challenges

205 Code Snippets

70 Illustrations

Learning Objectives

Learn how to extract and represent data using Python data structures, descriptive statistics, and reading from and exporting data to different types of files.

Learn how to represent data in Numpy and various vectorization operations that can be performed on code.

Learn how to use Python libraries such as Numpy and Pandas for data extraction, cleaning, and processing purposes.

Learn how to use Python libraries such as Matplotlib for data visualization after it has been cleaned and processed.