Introduction to R-Studio

In this in-person introductory course, you will acquire the foundations to understand, execute and communicate data analysis in a widely recognised software platform that was built for statistics. R is used in a number of professions, from academia to government departments and from data journalists to pollsters. 

Over two days, you will gain valuable skills that you can market to employers, gain confidence in your ability to work with data, and create a knowledge base that you can build on for years to come.  

Course Description

Topics to be covered: 

• How to navigate the R-Studio environment 

• Reading data into R 

• Tidyverse programming and Base R, including packages such as ggplot 

• Data wrangling, including cleaning data and creating variables 

• Data visualisation, including how to create the right graphs for your data 

• Data analysis, both descriptive and inferential, including t-tests and an introduction to regression modelling