1. Summarise Numerical Data by Category: Learn how to calculate summary statistics for numerical data grouped by categorical variables to uncover meaningful patterns.

2. Visualise Relationships Using R: Explore the use of R and GGPlot2 to create visualisations like box plots for analysing data distributions across categories.

3. Handle Missing Data Effectively: Understand techniques to manage missing values, ensuring accurate and reliable statistical analysis.

4. Compare Groups with Statistics: Use statistical methods such as T-tests and ANOVA to assess differences between groups and determine their significance.