Bokeh is a robust Python package that empowers users to create dynamic and interactive data visualizations. By utilizing Bokeh, you can surpass the limitations of static plots and provide stakeholders with the ability to modify and interact with your visualizations. In this comprehensive course on interactive data visualization with Bokeh, you will gain hands-on experience working with various datasets, such as stock prices, basketball player statistics, and Australian real-estate sales data. Through practical exercises, you will learn how to construct and personalize a wide range of plots, including scatter, bar, line, and grouped bar plots. Furthermore, you will become proficient in utilizing configuration tools to modify the viewer's interaction with your plot. Additionally, you will explore Bokeh's custom themes, acquire the skills to generate subplots, and even discover how to incorporate widgets into your plots. By the end of this course, you will possess the expertise to create professional and engaging interactive data visualizations using Bokeh.