Environmental Data Analysis

Catalog description

Develop proficiency in fundamental data analytic techniques in the R scripting language commonly used in environmental science and engineering with applications spanning practice and research. Topics include: trend detection, numerical approaches to model fitting, cluster analysis, and introductory machine learning methods.