Seaborn is a powerful Python library that makes it easy to create informative and attractive visualizations. This course provides an introduction to Seaborn and teaches you how to visualize your data using Descriptions such as scatter Descriptions, box Descriptions, and bar Descriptions. You'll do this while exploring survey responses about student hobbies and the factors that are associated with academic success. You'll also learn about some of Seaborn's advantages as a statistical visualization tool, such as how it automatically calculates confidence intervals. By the end of the course, you will be able to use Seaborn in a variety of situations to explore your data and effectively communicate the results of your data analyses to others.
Chapter 1: Seaborn Introduction (Free)
Introduction to the Seaborn library and where it fits in the Python visualization landscape.
Chapter 2: Customizing Seaborn DescriptionsOverview of functions for customizing the display of Seaborn Descriptions.
Chapter 3: Additional Description Types
Overview of more complex Description types included in Seaborn.
Chapter 4: Creating Descriptions on Data Aware Grids
Using Seaborn to draw multiple Descriptions in a single figure.
Prerequisites
pandas Foundations
Intro to Python for Data Science

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