Teaching
Course materials, workshops, and talks.
I previously taught applied statistics and data analytics at the graduate and PhD level. All course material below is shared under the GNU General Public License (GPL-3) — use it, adapt it, teach from it.
As I teach new courses that can be shared, I’ll include those here.
Courses
Statistical Foundations
PhD-level. The foundations sequence: probability, estimation, inference, t-tests, ANOVA, and others.
Regression Analysis
PhD-level. Regression, including OLS, generalized linear models, diagnostics, interactions, splines, and more.
Applied Statistical Analysis
Graduate-level applied course, taught with both R and Jamovi so the statistics are not gated behind the syntax.
Intro and Intermediate R
Graduate-level R sequence — from first script to a reproducible analysis pipeline.
Research Methods in Psychology
Undergraduate. The whole research process, from question formulation to communicating results.
Supporting resources
Jamovi tutorials, REDCap guides, and R for Researchers.
Invited talks
| Year | Venue | Materials |
|---|---|---|
| 2026 | Posit::Conf(2026) | |
| 2025 | PyData | HTML · QMD |
| 2024 | Joint Statistical Meetings (JSM) | PDF · PPTX |
| 2024 | useR! — Salzburg, Austria | PDF · PPTX |
| 2024 | R/Finance — Chicago | |
| 2020 | rstudio::conf |
Workshops
- Datapalooza 2020
- Mediation Analysis
- Secure Data Collection
- Intro to the DSDU
- Intro to Connectivity
- Health Data Science
- Data Joins
- Customizing RStudio and
ggplot2— PPTX · PDF