AREC380
Data Science for Environmental and Resource Economics
Prerequisite: AREC240, AREC241, AREC250, or ECON200. An introduction to principles of data science using modern, open source software tools with applications to important problems in environmental, energy and resource economics. Topics include data wrangling, exploratory data analysis and visualization, modeling, forecasting, practices for reproducible research, and communication of results.
Fall 2025
4 reviews
Average rating: 5.00
Past Semesters
4 reviews
Average rating: 5.00
4 reviews
Average rating: 5.00
4 reviews
Average rating: 5.00
4 reviews
Average rating: 5.00
During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.
Average GPA of 3.09 between 187 students*
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.