Introduction to R-Studio

Over the two days of this in-person course, 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.

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

By the end of the course participants will:

• Be able to use R-Studio to analyse data
• Have improved their understanding of programming in R-Studio

Course Outline:

Day 1:

• RStudio principles and key terms
• Reading data into RStudio
• Creating variables
• Visualising data with ggplot

Day 2:

• Subsetting and grouping data
• Analysing survey data
• Analysing experiment data
• Performing a regression analysis

Software:

Students are able to use the computers in the lab during the course. If they are using their own laptops, they will need to install R and R-Studio, available free from https://cran.rstudio.com/ 

Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal.  AMEX is not accepted.
If you have not previously created an account for the Online Store, you will need to create an account to make a booking.