If you want to learn more about the module please see the introduction. Instructions to install the required software can be found here. All the raw files and code can be found on GitHub (click ‘Code’ > ‘Download ZIP’ near the top right if you want offline versions of everything). All links below are in pdf format for you to annotate.

Please note that the course will be recorded so please turn off video if you do not wish to be shown on the recordings.

Day 1: Visualisation philosophy and introduction to ggplot2

All times below in GMT

Time	Class
8:00-9:00	Introduction to Data Visualisation
9:00-9:15	Break
9:15-10:15	Introduction to ggplot2
10:15-10:30	Break
10:30-11:15	Guided practical: Revision on tidyverse (R code) and a work flow for ggplot2 (R code)
11:15-11:30	Break
11:30-12:30	Customisation of ggplots
12:30-13:30	Lunch
13:30-15:00	Self-guided practical (html)

Day 2: Advanced visualisation techniques

All times below in GMT

Time	Class
8:00-9:00	Visualising higher dimensional data
9:00-9:15	Break
9:15-10:15	Interactive visualisations
10:15-10:30	Break
10:30-11:15	Guided practical: Some advanced workflows for interactive visualisations (R code)
11:15-11:30	Break
11:30-12:30	Visualising machine learning and statistical model output
12:30-13:30	Lunch
13:30-15:00	Self-guided practical (html)