Data Visualisation with Python: Bokeh and Advanced Layouts

On the first week of the course, you’ll explore the key functions of Bokeh and how it can be used to create interactive visualisations and dashboards.

You’ll weigh up the benefits of Bokeh compared to other data visualisation packages, and explore the concept of Glyphs within Python and how they can be customised.

Once you’ve mastered the basics you’ll learn about plot layouts, advanced features of the layouts, and the application of advanced widgets on Bokeh.

By the end of week two, you’ll understand the basics of layouts, interactions, and annotations, as well as being able to connect sliders to plots by updating plots from selects and putting it all together.

In week three, you’ll engage in an end to end exploration of data analysis. You’ll explore the various phases of data exploration and learn more about data ethics and the role of responsible storytelling.

You’ll also have the chance to conduct extended data analysis and visualisation, bringing all your learning together.

On the final week of the course, you’ll look at data analytics as an emerging field, the role of DataOps and UX design, and new technologies that have the potential to enhance your prospects as a data professional.

Throughout the course, you’ll have the opportunity to engage in a variety of practical exercises and complete real-world tasks that will place you in the role of a data analyst for a boutique streaming service.