Key Information

Tutor: Dr John Pinney
Course Level: Level 2
Course Credit: 
1 credit
Prerequisites: 
Familiarity with R as a programming language.
Duration: 2 x 2.5 hour sessions
Format: Microsoft Teams with live teaching and hands-on practice

Course Resources

Building on the material covered by R Programming, this workshop will introduce the tidyverse packages, which support advanced data processing and visualisation in R.

Syllabus:

  • R as a data-handling environment
  • The tidyverse packages
  • Reading tabular data with readr
  • Tidying data with tidyr
  • Transforming data with dplyr
  • Data visualisation with ggplot2
  • Applying statistical tests to tabular data

Learning Outcomes:

After completing this workshop, you will be better able to:

  • Use R to import and tidy tabular data.
  • Combine data from multiple sources.
  • Transform data to generate derived variables.
  • Apply statistical tests to data in R.
  • Create high-quality data visualisations.


Dates & Booking Information

DateTimePlatform/Venue
Monday 08 November 2021 (Part 1) &
Tuesday 09 November 2021 (Part 2)
10:00-12:30
10:00-12:30
Microsoft Teams
Wednesday 15 December 2021 (Part 1) &
Thursday 16 December 2021 (Part 2)
14:00-16:30
14:00-16:30
Microsoft Teams
Thursday 10 February 2022 (Part 1) & 
Friday 11 February 2022 
(Part 2)
14:00-16:30
14:00-16:30
South Kensington (Face-to-Face)
Monday 28 March 2022 (Part 1) &
Wednesday 30 March 2022 
(Part 2)
10:00-12:30
10:00-12:30
Microsoft Teams
Thursday 28 April 2022 (Part 1) &
Friday 29 April 2022 
(Part 2)
14:00-16:30
14:00-16:30
South Kensington (Face-to-Face)
Thursday 09 June 2022 (Part 1) &
Friday 10 June 2022 
(Part 2)
14:00-16:30
14:00-16:30
Microsoft Teams
Summary of the table's contents

Please select a date and book on via Inkpath using your Imperial Single-Sign-On.