Undergraduate service course, Virginia Tech Department of Statistics, 2024
Undergraduate introductory statistics course covering analysis of variance, categorical data analysis, non-parametric tests, simple linear regression, multiple regression, and logistic regression with applications in biological sciences. Biweekly 75-minute lectures, 71 students.
Short course, Virginia Tech Explore Data Science Camp, 2024
Created and delivered an interactive introductory Python course for 11th-12th Graders covering the basics of Python, Jupyter Notebooks, and Exploratory Data Analysis, 2-hour course, two sections of 28 students.
Undergraduate service course, Virginia Tech Department of Statistics, 2024
Undergraduate introductory statistics course covering sampling distributions, estimation, hypothesis testing, simple linear regression, multiple regression, and one-way analysis of variance with applications in engineering. Six-week online asynchronous course, 25 students.
Short course, Virginia Tech, SAIG, 2023
Instruction of short course covering multiple linear regression basics, model diagnostics, and model selection techniques in R, 2-hour hybrid course, 13 students.
External course, Virginia Tech, SAIG, 2021
Co-created and delivered an Internal Revenue Service (IRS) data science for leaders course in conjunction with the MITRE Corporation covering the basics of statistics, data visualization, hypothesis testing, machine learning and more. This series includes 893 PowerPoint Slides in 41 separate topic modules. Total length of the videos recorded exceeds 30 hours of recorded material. Funded by the IRS through MITRE and the Statistical Application and Innovations Group at Virginia Tech.