1. Understand Descriptive Statistics: Learn the importance of summarising data's main features using numerical and graphical methods to avoid errors in analysis.

2. Explore Correlation Between Variables: Analyse relationships between variables to identify patterns and trends, focusing on numerical data correlations.

3. Use Summary Function in R: Gain proficiency in using the summary function to extract key statistics and identify missing values in datasets.

4. Visualise Data Relationships: Utilise plotting functions to create scatterplots and other visuals that highlight potential correlations between variables.