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 plots such as scatter plots, box plots, and bar plots. You'll do this while exploring survey responses about student hobbies and the factors that are associated with acad 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 PlotsOverview of functions for customizing the display of Seaborn plots.

Chapter 3: Additional Plot Types

Overview of more complex plot types included in Seaborn.

Chapter 4: Creating Plots on Data Aware Grids

Using Seaborn to draw multiple plots in a single figure.

Prerequisites

pandas Foundations

Intro to Python for Data Science




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