EDS 222
Course Name
Statistics for Environmental Data Science
Course Name
Statistics for Environmental Data Science
Instructors
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 2024