Students learn different methods required for data analysis and interpretation of processes related to the natural and built environment. The emphasis is on formulating questions, choosing appropriate statistical tools for a given problem, and drawing appropriate conclusion. The course covers concepts related to statistical inference and common probabilistic models, linear regression, and exposes the students to non-parametric statistics; the students also learn how to perform these analyses using the R programming language. Statistical methods are introduced through the use of hands-on analyses with real data.