Teaching

Recently developed // taught courses. Click to view the course websites.

STA 363 – WFU Spring 2023

Statistical learning. Learn the theory behind cutting edge statistical and machine learning techniques. Gain hands on experience with real data from a variety of disciplines. The course will focus on the statistical computing language R.

STA 112 – WFU Fall 2022

Statistical models. Learn to explore, visualize, model, evaluate, and communicate data in a reproducible manner. Gain hands on experience with real data from a variety of disciplines. The course will focus on the statistical computing language R.

STA 379/679 – WFU Spring 2022

Causal Inference. From Correlation to Causation. The goal of this course is to give students the skills needed to conduct analyses and communicate results when causality is the goal. Students will learn how to implement causal inference techniques including matching and weighting, evaluate assumptions, and conduct sensitivity analyses.

Understanding data and statistics in the medical literature

Whether a medical student reading their first journal article or a healthcare professional trying to use the latest research to improve patient care, this course will help you understand data and statistics in the medical literature in an efficient and conceptual manner.

Measuring and Maximizing Impact of COVID-19 Contact Tracing

This course aims to provide managers and developers of contact tracing programs guidance on the most important indicators of performance of a contact tracing program, and a tool that can be used to project the likely impact of improvements in specific indicators.

STA 363 – WFU Fall 2020

Statistical learning. Learn the theory behind cutting edge statistical and machine learning techniques. Gain hands on experience with real data from a variety of disciplines. The course will focus on the statistical computing language R.

STA 312 – WFU Fall 2020

Linear models. Learn the theory behind linear models. Gain hands on experience with real data from a variety of disciplines. The course will focus on the statistical computing language R.

STA 363 – WFU Spring 2020

Statistical learning. Learn the theory behind cutting edge statistical and machine learning techniques. Gain hands on experience with real data from a variety of disciplines. The course will focus on the statistical computing language R.

STA 212 – WFU Fall 2019

Statistical models. Learn to explore, visualize, model, evaluate, and communicate data in a reproducible manner. Gain hands on experience with real data from a variety of disciplines. The course will focus on the statistical computing language R.

ggplot2 in 2

This course was designed to teach the fundamentals of the ggplot2 R package in a quick two hours.