This course provides an introduction to creating interactive visualisations in Python, with a focus on using the Plotly and Bokeh libraries. In this two-day course, you will gain both theoretical knowledge and hands-on experience with these technologies, enabling you to create dynamic and interactive graphs and visualisations of your data. The Microsoft Windows operating system is used throughout the course.

Day 1: Plotly

1. Introduction to interactive visualisation
Basic interactive visualisation concepts and terminology
Comparison of traditional graphical tools with modern libraries like Plotly
2. Introduction to Plotly
Introduction to the Plotly library and its benefits
Install and set up the environment
3. Creating basic charts in Plotly
Line, bar and pie charts
Customise the appearance of charts
4. Interactive elements in Plotly
Add interactive elements
Create dashboards and complex visualisations

Day 2: Bokeh

1. Introduction to Bokeh
Introduction to the Bokeh library and its benefits
Install and set up the environment
2. Creating basic charts in Bokeh
Line, bar and pie charts
Customise the appearance of charts
3. Interactive elements in Bokeh
Add interactive elements
Create dashboards and complex visualisations