This course introduces students to methods for the statistical description of data and their uncertainties, and the inference and estimation of indirect information. Emphasis is placed on conceptual understanding and practical application. Topics include error propagation, cluster analysis, Markov Chain Monte Carlo, least squares regression, robust regression, and model selection.