- Basic commands, reading and writing data, indexing
- Data objects, summary statistics, visualisation
- Useful statistical analyses: correlation analysis, linear regression
- Useful statistical analyses: t-test, ANOVA
- chi-squared test, Fisher’s test
- Multivariate data analyses (PCA)
- Capstone project (analysis of real data sets).
Who should attend: Anyone who is interested in developing basic R skills to analyse their own data.