- Teaches classical inference: confidence intervals, hypothesis testing.
- Covers regression modeling: linear, logistic, and multilevel models.
- Introduces Bayesian frameworks for probabilistic reasoning.
- Provides hands-on exercises aligning methods with research questions.
- Prepares learners to analyze and interpret data using multiple statistical paradigms.
