ENV 422 - Environmental Data Analysis (3 cr.)

Course will provide experience in experimental design, data management, data exploration, and statistical methods. Students will learn best management practices for collecting, storing, and sharing data, including metadata. This course will introduce students to the R programming language in the context of performing exploratory data analysis, visualization, and statistical methods commonly used in the field. Students will have the opportunity to use their own data sets for class projects.
Liberal Arts
Prerequisite(s): ENV 333 or MAT 161 and Junior standing or POI
Semester(s) Offered: Spring