Courses
EDS 222
Statistics for Environmental Data Science
Instructors:
Tamma Carleton
Prerequisites: EDS 221 or equivalent
Units: 4
Description
This course teaches a variety of statistical techniques commonly used to analyze environmental data sets and quantitatively address environmental questions with empirical data. The course covers fundamental statistical concepts and tools, including sampling and study design, linear regression, inference, and time series analysis, as well as foundational concepts of spatial and space-time dependency and associated impacts on inference.
Course Syllabus: Fall 2023
Course Website ~ Fall 2023 coming soon!
