This tutorial takes you through the basics and various functions of Seaborn. It is specifically useful for people working on data analysis. After completing this tutorial, you will find yourself at a position where you would be able to implement this knowledge towards a constructive purpose.

This “Seaborn Python Tutorial” will help you to implement all the different plots with Seaborn. Data Visualization is an essential component of a data scientist’s skill set and seaborn is one of the most popular packages in python to implement data visualization. With the help of seaborn, you can create beautiful bar-plots, box-plots, scatter-plots, histograms and so much more.

When you’re using Python for data science, you’ll most probably have already used Matplotlib, a 2D plotting library that allows you to create publication-quality figures. There is another complementary package that is based on this data visualization library which is “Seaborn”, which provides a high-level interface to draw statistical graphics, and this tutorial includes all the basic concepts of Seaborn Python that will help you to understand it in a better way.

This Tutorial comprises of the following topics:

• 00:00:00 Introduction
• 00:37:00 - Introduction to Visualization
• 00:19:30 - Demo with Seaborn

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