Detailed Course Information |
Fall 2023
Dec 26, 2024 |
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| ENVS 202 - Data Analysis for Scientists |
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A comprehensive study of how to use powerful statistical tools to prepare, analyze, interpret, and visualize data collected in the physical, biological and environmental sciences. Practical and applied analyses are emphasized, using case studies and critical assessment of the use of statistical methods in published literature. Topics include design of experiments, univariate distributions, exploratory data analysis, inferential statistics and hypothesis testing, linear and generalized linear models, and time-series analysis, using open-source statistical software. Non-parametric analyses and careful consideration of confidence intervals are emphasized.
Prerequisite: Completion of the math core requirement or the eligibility to enroll in MATH 180 Precalculus.
1.000 Credit hours 4.000 Lecture hours Levels: Non-Matriculated, Undergraduate Schedule Types: Independent/Directed Study, Lecture Environ, Society,& Sustainblty Department Course Attributes: Undergraduate Level Course Restrictions: May not be assigned one of the following Student Attributes: DGCE Student |
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