Key Information

Tutor: Dr John Pinney
Course Level: Level 2
Course Credit: 
1 credit
Introduction to R (or equivalent prior learning)
Duration: 2 x 2.5 hour sessions
Format: Microsoft Teams with live teaching and hands-on practice

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


  • 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

There are no further sessions taking place this academic year. Course dates for 2023-24 will be available to book from late September.

To book your place, please follow the booking process advertised on the main programme page