This course aims to build and solidify your understanding of what data visualization is, why it is important, and eventually, how to build visualizations from your own datasets using Bokeh.

Many have heard about the explosion of data and the abundance of data sources post 2010. If you're a data analyst or are involved in data-driven decision making for your organization, understanding the data you're provided with or have obtained becomes crucial.

A key component in understanding your data is data visualization. You can find a plethora of tools to do this, and Python's Bokeh library is one of the big ones.

This course aims to give you an introductory understanding of Bokeh.

In this course, Build Your First Data Visualization with Bokeh, you'll deal with the what's and the why's of Bokeh. First, you'll hear about what it is, why it is needed, and the things you can do with it.

Next, you'll focus on creating actual visualizations using Bokeh. Then, you'll learn how to load a dataset, in addition to creating and customizing visualizations, along with adding the one thing that makes Bokeh special - Interactivity.

When you're finished with this course, you'll have the knowledge and skills to build visualizations from your own datasets with Bokeh.