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Courses

ESM 206

Statistics & Data Analysis for Environmental Science & Management

Instructors:
Christopher Jerde

Prerequisites: Math 3AB-4A or equivalent

Units: 4

Description

This course provides conceptual, technical, and communication skills to investigate and answer environmental questions using data. Topics include data manipulation, exploratory data analysis, descriptive statistics, regression, hypothesis testing, uncertainty, and data visualization. Skills for data exploration, analysis, and project management will be developed through analysis of real‐world datasets using R and RStudio while building tools for and understanding of computational reproducibility and collaboration.

Course Syllabus: Fall 2022

 

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