1. Summarise Continuous Variables: Learn how to numerically and graphically summarise continuous variables, such as height, weight, or test scores, using R.

2. Explore Central Tendency Measures: Understand key measures like mean and median to identify the typical value within a dataset and their significance.

3. Analyse Data Dispersion Patterns: Examine variability in data using standard deviation, range, and interquartile range to assess data spread and outliers.

4. Visualise Data with Graphs: Create histograms, box plots, and scatter plots to visually interpret data distributions and relationships between variables.