1. Basics of statistics:

Analyzing categorical data, Displaying and comparing quantitative data, Summarizing quantitative data, Modeling data distributions, Exploring bivariate numerical data, Study design

2. Methods:

Graphical and numerical summaries of data, reasoning behind the calculations, the assumptions under which they are valid, and the correct interpretation of results.

3. Central tendency and correlation (applications):

Correlation, Linear Models, Linear Models: Bias, Mann-Whitney Test, Meta-Analysis.