COURSE DESCRIPTION: Learn the basic concepts of statistical programming in R. Examples used in learning are tailored to the needs of students, researchers, and professionals in wildlife- and ecology-related disciplines.

MAIN TOPICS: 

• R Boot Camp (refresher)
• Normal Populations
• Permutation Tests
• Simple Linear Regression
• Multiple Linear Regression
• ANOVA
• Model Selection

PREREQUISITES: Basic statistics and introductory R training (e.g., Data Science in R).

FORMAT: This is an intensive 1-week course that you can learn at your own pace over four weeks. Watch prerecorded lectures, work on problem sets, and receive live instructor support the first week (Dec. 27-31: 9:00-12:00 and 18:00-21:00 EST) via discussion forums, by email, or during scheduled phone/Zoom appointments. During the next three weeks, students will have daily, but limited, instructor support and feedback about course materials but will have the option to work with an instructor on a personal project.