An introduction to multivariate statistical methods commonly used by researchers in ecology and evolutionary biology. Topics range from methods focused on single datasets (e.g., principal component analysis, principal coordinates analysis, cluster analysis) to methods involving groups of observations (e.g., discriminant analysis) to methods relating sets of variables to one another (e.g., canonical correspondence analysis, redundancy analysis, procrustes analysis). An emphasis on the graphical geometry of the methods will be provided. The course is oriented more towards the underlying application and understanding of the methods rather than the underlying mathematical derivations or theory.