Teaching

OER Materials

I am currently writing A Progressive Introduction to Linear Models, an OER textbook related to linear regression. The current state of the manuscript can be viewed at https://jfrench.github.io/LinearRegression

Materials for Data Wrangling and Visualization in R are available at https://github.com/jfrench/dwv/. YouTube playlists discussing the material are provided below:

• A Crash Course in R
• A Crash Course in R Markdown
• Basic Data Viz with ggplot2
• Date Frame Manipulation with dplyr and tidyr
• Simple Features (sf) Wrangling and Visualization
• Interactive graphics with plotly
• Matrices, arrays, and lists in R
• Control statements, iteration, and apply functions in R
• Creating websites with Quarto and GitHub

In general, I record videos related to my courses and post them at my YouTube channel: https://youtube.com/@jfrench

Courses Taught

University of Colorado Denver

• MATH 2830: Introductory Statistics
• MATH 3376: Data Wrangling & Visualization
• MATH 4027/5027: Topics in Mathematics (Applied Spatial Statistics)
• MATH 4820/5320: Introduction to Mathematical Statistics
• MATH 4830/5830: Applied Statistics
• MATH 4387/5387: Applied Regression Analysis
• MATH 5320: Statistical Inference
• MATH 6393: Introduction to Bayesian Statistics
• MATH 6384: Spatial Data Analysis
• MATH 7393: Bayesian Statistics
• MATH 7826: Topics in Probability and Statistics (Theoretical Statistics)

Colorado State University

• STAT 101: Activity Based Statistics
• STAT 110: Statistical Thinking: Concepts and Applications
• STAT 201: General Statistics (Recitation)
• STAT 301: Introduction to Statistical Methods
• STAT/ERHS 307: Introduction to Biostatistics
• STAT 340: Multiple Regression Analysis
• STAT 650: Design and Linear Modeling II (Distance Coordinator)