Application of probability theory and statistical methods to analyze biological data. Topics include: descriptive and inferential statistics, an introduction to Bayesian statistics, design of quantitative experiments, and methods to analyze high-dimensional datasets. A conceptual understanding of topics is emphasized, and methods are illustrated using the Python programming language. Although a basic understanding of Python is encouraged, no programming experience is required. Students taking the graduate version are expected to explore the subject in greater depth.