Introduction
Understand fundamental concepts of data visualization and analysis using Seaborn. Learn about plot styles suited for different data types, data cleaning basics, and how to enhance graphs with Seaborn's themes and color palettes. This lesson sets the foundation for effectively visualizing univariate, bivariate, and multivariate data.
We'll cover the following...
Outline
In this course, we’ll cover all the essential aspects of data visualization. We’ll begin by discussing the most fundamental concepts for data cleaning, the several plot styles appropriate for the different types of data, and univariate, bivariate, and multivariate analysis. We’ll conclude our discussions on how to make our plots aesthetically pleasing by discussing style and aesthetics using a variety of seaborn color palettes and themes.
Target audience
This is an introductory course for the seaborn library. It can be taken by anyone who is interested in data visualization and has basic programming knowledge.
Prerequisites
To be successful in this course, you should have a basic understanding of the Python programming language.