Introduction to R with Tidyverse
A 2-day introduction to the wonders of R and Tidyverse. Learn to load, manipulate, explore, and visualise data in R, and create high quality reports using RMarkdown.
Spatial data analysis with R
A 3-day comprehensive introduction to spatial data, visualisation, and analysis. Unlock the full potential of your analysis and gain a more nuanced, geographically informed understanding of your data.
Data visualisation with ggplot2
A one-day course introducing the powerful, flexible data visualisation package, ggplot2. Create compelling visualisations that can be used to explore data, generate hypotheses, and communicate results.
Introduction to Statistics
A self-paced online introduction to all things statistics! Go from zero to regression via visualisation, summary statistics, and hypothesis testing.
Inferential statistics
A free, self-paced micro-course introducing the two most common inferential statistics, p-values and confidence intervals
Generalised additive models with R
A 3-day course to take your modelling to the next level. Go beyond generalised linear models with their smoother, more flexible cousins, generalised additive models!
Regression with R
A 2-day introduction to one of the most widely used and powerful tools in quantitative analysis…regression! A comprehensive introduction to generalised linear models with applications in R.
Bayesian statistics with R
A 3-day introduction to thinking and behaving like a Bayesian! Understand the concepts behind Bayesian statistics, carry out statistical analysis using Bayesian approaches in R, and learn to interpret results from a Bayesian perspective
Statistical thinking
A 2-day course introducing the concept of statistical thinking, thinking critically in a data-driven world. Statistical thinking is a necessary skill, not just in work but in our personal lives too, allowing us to sift through conflicting claims to make decisions based on evidence.