You'll begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries.
You'll study different types of visualizations, compare them, and find out how to select a particular type of visualization to suit your requirements. After you get a hang of the various non-interactive visualization libraries, you'll learn the principles of intuitive and persuasive data visualization, and use Bokeh and Plotly to transform your visuals into strong stories.
You'll also gain insight into how interactive data and model visualization can optimize the performance of a regression model.
