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