Data Science: Data Processing with R
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
Date | Time | Platform/Venue |
---|---|---|
Thursday 09 June 2022 (Part 1) & Friday 10 June 2022 (Part 2) |
14:00-16:30 14:00-16:30 |
Microsoft Teams |
Please select a date and book on via Inkpath using your Imperial Single-Sign-On.