Course Description
This course provides students with foundational coding skills in R, an open-source statistical software environment, as well as instruction on best practices for tidying, managing, and analyzing environmental and agricultural data, including geospatial, tabular, and time series observations. As this is an introductory course, prior programming experience is not required or expected. Coding approaches taught in the course will be targeted towards developing skills needed for summarizing data, creating data visualizations, and applying simple statistical models for analysis of environmental and agricultural data.
Fall 2022
Instructors
Meeting Patterns
Classes Start:
August 22, 2022
Classes End:
December 5, 2022
Distance Education:
Yes
Class Days:
[TBA]
Class Type:
Lecture
Credits:
3.00
Restrictions:
None
