— Data Literacy for Wildlife Biologists
Working with data in wildlife research. Programming in R with a focus on manipulating, summarizing, and visualizing data. Creating reproducible reports that combine code, visualization, and interpretive text. Reading scientific literature and interpreting common types of experimental and field data in ecology and wildlife biology.
Prerequisites & course information
Course Description: Working with data in wildlife research. Programming in R with a focus on manipulating, summarizing, and visualizing data. Creating reproducible reports that combine code, visualization, and interpretive text. Reading scientific literature and interpreting common types of experimental and field data in ecology and wildlife biology. Learning Activities: Lecture 2 hour(s), Laboratory 1 hour(s). Grade Mode: Letter. Learning Activities: Lecture 2 hour(s), Laboratory 1 hour(s). Grade Mode: Letter.
Sources
- Course catalogue ↗2026-2027