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.

No Prerequisites

4

Units

Letter

Grading

1, 2, 3

Passtime

None

Level Limit

Environmental science

College
Unlocks ESM 211 ESM 217 ESM 244
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JERDE C L
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BREN 1414
T
14:00 PM - 15:50 PM
0 / 50

BREN 1414
W
14:00 PM - 15:50 PM
0 / 50

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Fall 2024 . Jerde C L
BREN 1414
T R
08:00 AM - 09:15 AM
Fall 2025 . Jerde C L
BREN 1414
T R
08:00 AM - 09:15 AM
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ESM 206 Jerde C L Fall 2025 Total: 58
ESM 206 Jerde C L Fall 2024 Total: 81
ESM 203
0 / 100 Enrolled
Earth System Science
Caylor K K, Jasechko S A
M W
09:30 AM - 10:30 AM
ESM 210
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Business and the Environment
Peggy Cotter 2.6
T R
09:30 AM - 10:30 AM
ESM 214
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Biological Waste Treatment
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Science and Management for Forest Sustainability
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ESM 224
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Keller A A
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Cost-Benefit Analysis and Nonmarket Valuation
Plantinga A
T R
09:30 AM - 10:45 AM