The course on Probability and Data Analysis will cover the following topics:
- introduction to probabilistic reasoning
- basic distributions; derivations and when they apply
- construction of confidence intervals
- Bayesian credibilities
- test statistics and p-values
- Bayes factors and model selection
with examples from nuclear, particle, and astro physics along the way.