Environmental Data Science

Catalog description

Quantitative skills and understanding are critical when working with, understanding, analyzing, and gleaning insights from environmental data. This course will cover the fundamental concepts and practical applications of data science in environmental studies. This course combines theoretical knowledge with hands-on experience using the R programming language. Students will learn how to collect, analyze, and interpret environmental data, as well as how to communicate their findings effectively. The course aims to equip students with essential skills in statistical analysis, data visualization, and basic machine-learning techniques relevant to environmental science. Prerequisite(s): A MAT 370.