First and foremost, I strive to teach my students how to create knowledge from data. But as is often true for empirical work, data are messy, questions are ill-defined, modeling choices are vast, and translating one’s work for a broader audience is difficult. In short, learning from data is tough and requires repeated practice. To that end, I have created statistics and data science courses that enable students to develop their data problem-solving abilities by iterating through the entire data analysis cycle.
For spring 2022, I taught Stat 100: Introduction to Statistics and Data Science (lecture slides). During the previous academic year (while at Reed College) I taught:
- Math 141: Introduction to Probability and Statistics
- Math 241: Data Science
- As part of the course, students wrote blog posts.