This guide is for anyone interested in learning about Seaborn ( a visualization library in Python)

I believe in learning the subject hands-on, so all the topics discussed will be immediately followed by examples, which allow you to understand the expected output.

I will assume that you at least have a beginner-level knowledge of Python and have it installed in your system.

I have designed the book so that each chapter corresponds to a specific concept so that even an absolute beginners in Seaborn can follow.

By the end of the book, you will have a proper understanding of how to create the Seaborn plots which are frequently used in the data science industry and confidently use the new skill in your day-to-day coding activities.

In case you are unfamiliar with coding in Python, please study “A Beginner’s Guide to Python for Data Science” first so that you are up to speed when it comes to Python and can follow this book.

Topics covered:
Chapter 1: Introduction to Visualization

Chapter 2: Visualizing Line Charts

Chapter 3: Visualizing Scatter Plots

Chapter 4: Visualizing Bar Charts

Chapter 5: Visualizing Box plots

Chapter 6: Visualizing Heatmaps

Chapter 7: Visualizing Boxen or Letter Value Plots

Chapter 8: Data Analysis using FacetGrid