ENVS567
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ENVS567 - Statistical Analysis of Ecological and Environmental Data with R
Course ID
040956
Course Description
The course (3 unit class) will teach the fundamentals of coding and programming using the R language (https://www.r-project.org/). The students will use code examples and practice problems to understand the statistical as well as the scientific viewpoint. Using R, students will explore and visualize real-world data and derive meaningful interpretations. The course will cover introductory statistics (descriptive statistics, hypothesis testing, t-test, ANOVA, correlation, regression) and multivariate statistics with a focus on ecological analyses (diversity, cluster analysis, unconstrained ordination, constrained ordination).
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Attributes
GIDP - ECGN (Ecosystem Genomics), GIDP - EIS (Entomology & Insect Science), GIDP - GC (Global Change)
Course Requisites
ENVS 275 or Math 263, or an introductory college-level statistics course, or instructor consent.
May be convened with
Component
Lecture
Optional Component
No