• Calculate sample summaries and estimate population parameters
• Work with distributions: generate random numbers, calculate quantiles and p-values
• Calculate confidence intervals
• Bootstrap statistics
• Compare data from two or more different groups
• Estimate and interpret linear models
• Identify common violations of regression assumptions
• Power calculations

Prerequisites: Learners should be proficient at using R and have the latest versions of R, RStudio, and Zoom installed on their computers.

Instructor: Dr. Wesley Brooks is a research data scientist at DataLab. He holds a PhD in Statistics and an MS in Biostatistics from the University of Wisconsin-Madison, where he taught statistics as a lecturer before joining DataLab. He was a postdoc in the Ecostats lab at the University of New South Wales, Australia, studying point processes and ecological statistics. His interests span from statistical computing to spatial statistics, nonparametric regression, and multimodel inference.