James Scott
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Teaching

All current and recent courses are run through Canvas, per UT requirements. Below are selected public and archived materials.

Teaching essays

Occasional essays on statistical thinking, pedagogy, and what I’ve found worth emphasizing (or de-emphasizing) in my courses.

Where Does the Uncertainty Come From?

The canonical stat-101 sampling story is useful, but it addresses only one of several genuine sources of uncertainty in real data analysis. Before reaching for any tools, teach students to ask what kind of uncertainty they actually face.

Teaching areas

  • Statistical modeling
  • Probability and inference
  • Data science
  • Predictive modeling and machine learning
  • Bayesian statistics
  • Statistical computing

Archived courses

  • ECO 394D: Probability and Statistics
  • STA 380: Predictive Modeling
  • ECO 395M: Data Mining
  • SDS 383D: Statistical Modeling 2
  • STA 371H: Statistics and Modeling Honors

Open teaching resources

  • Data Science in R: A Gentle Introduction
  • R tutorials
  • What should a write-up look like?

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