Introductory course, prerequisites: an introductory course in probability
There are two main components of the course. The first component is the theory of fundamental statistics. It includes:
- confidence intervals, t-distribution, hypotheses testing and p-value.
- analysis of variance (ANOVA)
- regression models: simple linear regression, multivariate linear regression and logistic regression.
- statistical model choice.
The second part is implementation of the first part using statistical software