ENV 730 / 2026-2027

Environmental Data Science in R: Introduction to Data Integration and Machine Learning

Faculty

Credits

3

Fall Schedule

Th, 2:35-5:30, Kroon 319

Enrollment Cap

Limited to 15

Course Description

In today's world, understanding environmental data and making informed decisions based on it is crucial for addressing complex environmental challenges. This course serves as an introductory exploration into the integration of environmental data using R programming language, coupled with machine learning techniques. Participants will gain hands-on experience in handling, analyzing, and interpreting environmental datasets, with a focus on leveraging the power of R for data integration and predictive modeling.