My new website is at: https://bcheggeseth.github.io/. Please see that site for updated information.
Macalester College
Intro to Statistical Modeling (Fall 2018, Fall 2019, Fall 2020)
Correlated Data (Spring 2019, Fall 2019)
Mathematical Statistics (Spring 2019)
Williams College
Elementary Statistics & Data Analysis (Text: Intro Stats by De Veaux, Velleman, and Bock)
Statistics & Data Analysis (Text: Stats: Data and Models by De Veaux, Velleman, and Bock)
Introduction to Statistical Modeling (Text: Stat2 by Cannon et al.)
Data Visualization (Text: ggplot2 by Hadley Wickham, Interactive Data Visualization for the Web: An Introduction to Designing with D3 by Scott Murray)
Multivariate Data Analysis (Text: An Introduction to Statistical Learning by James, Witten, Hastie, and Tibshirani)
Regression and Forecasting (Text: Applied Linear Regression Models by Kutner, Nachtsheim, and Neter)
Longitudinal Data Analysis
Data Mining and Computational Statistics (Text: An Introduction to Statistical Learning by James, Witten, Hastie, and Tibshirani and Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy by Cathy O'Neil)
UC Berkeley
Introduction to Statistics (Instructor, Text: Statistics by Freedman, Pisani, and Purves)
Introduction to Time Series (Graduate Student Instructor, Text: The Analysis of Time Series, An Introduction by Chris Chatfield)
Supervisor: Adityanand Guntuboyina
Methods of Mathematics (Graduate Student Assistant, Curriculum Development)
Supervisors: Lior Patcher, Bernd Sturmfels
Exploration in Statistics (Graduate Student Instructor)
Supervisors: Deborah Nolan, Duncan Temple Lang, Mark Hansen, Steve Sain