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Taught across 4 Tuesday mornings in February 2026. Learn how to handle, analyse, and visualise data using R, one of the most powerful and widely used tools in data science and research. This hands-on, practical course is ideal for beginners—no prior experience with R is required.
Over four sessions, you’ll be guided step-by-step through key concepts in data analysis and statistical modelling. You’ll gain confidence writing R scripts, managing data, and applying statistical tests to real-world datasets.
Understanding R and RStudio: what is a script file?
Installing and using packages
Importing and cleaning data
Exploring data through summary statistics and plots
Introduction to linear models
Generalised Linear Models (GLMs) using count data
By the end of the course, you’ll have a clear understanding of how to use R for data analysis, interpret statistical results, and apply these techniques in your own work or research.
Taught across 4 Tuesday mornings in February 2026. Learn how to handle, analyse, and visualise data using R, one of the most powerful and widely used tools in data science and research. This hands-on, practical course is ideal for beginners—no prior experience with R is required.
Over four sessions, you’ll be guided step-by-step through key concepts in data analysis and statistical modelling. You’ll gain confidence writing R scripts, managing data, and applying statistical tests to real-world datasets.
Understanding R and RStudio: what is a script file?
Installing and using packages
Importing and cleaning data
Exploring data through summary statistics and plots
Introduction to linear models
Generalised Linear Models (GLMs) using count data
By the end of the course, you’ll have a clear understanding of how to use R for data analysis, interpret statistical results, and apply these techniques in your own work or research.