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EDS 222

Statistics for Environmental Data Science

Instructors:
Staff

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

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