Data Literacy.

Catalog description

Semester course; 4 lecture hours. 4 credits. Prerequisite: ENVS 102 . This course takes a hands-on, collaborative approach for students to develop proficiency in the application of data management skills, static and dynamic data visualization, and quantitative analyses of environmental and geospatial datasets. Students will be required to bring their own laptop and analyses and visualization will be performed using the R statistical programming language.