Data Visualisation with Python: Bokeh and Advanced Layouts

The first week of this course will cover the main functions of Bokeh as well as how it can be used for interactive visualisations. Bokeh's advantages over other data visualization packages will be discussed. You'll also learn about the Python concept of Glyphs and how they can customized. After you have mastered the basics, you will learn more about Bokeh's plot layouts and advanced features. You will be able to link sliders to plots using selects. Week three will be a full-fledged exploration of data analysis. Learn about the different phases of data exploration, as well as data ethics and responsible storytelling. The course will also allow you to combine all your knowledge with extended data analysis and visualization. The final week will focus on data analytics as an emerging field and the role of DataOps, UX design and other technologies that can improve your prospects as a data professional. You'll be able to participate in practical exercises and perform real-world tasks throughout the course that will put you in the position of a data analyst at a streaming service. You can see some of the steps in this course before you sign up.