ENST689T

Special Topics; Data Management and Analyses for Environmental Sciences

Cross-listed with ENST499T. This course is an introduction to data management, analysis, and visualization using the R programming language. Class topics and examples will have an emphasis on problems in environmental science (both natural and social science examples). The course is broken down into three sections: 1. Working with Data, 2. Statistics and Modeling, and 3. Advanced Topics. Classes will consist of short introductions to new concepts followed by hands-on computing exercises using R. No background in programming isrequired. Students are encouraged to bring their own laptop, either Mac or PC, to this course.

Sister Courses: ENST689, ENST689B, ENST689C, ENST689E, ENST689F, ENST689J, ENST689K, ENST689L, ENST689M, ENST689O, ENST689P, ENST689Q, ENST689R, ENST689U, ENST689W, ENST689X, ENST689Y, ENST689Z

Fall 2024

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Spring 2024

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Fall 2023

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* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.