Audience: learners interested in environmental data analysis, including beginning programmers
Time: approximately 30 hours
Course authors: Tao Wen, Christina Bandaragoda, and Lucas Harris
Provider: HydroLearn
The course module introduces R and Python programming through Earth and environmental science applications. Examples examine wildfire and the relationship between hydrocarbon production and groundwater quality.
Learners practice reading and modifying code, writing their own analyses, organizing a data-science workflow, and turning a scientific question into a data-analysis project.
Access and materials
Open the HydroLearn course page for the course and current access steps. The page lists a computer with internet access and a CUAHSI HydroShare account among the required tools.
Instructors can consult the provider’s export instructions for adaptation. Instructor export requires a HydroLearn Studio account; requests for answer keys should go to the course creators from an institutional email address. Follow the citation guidance on the course page when reusing materials.