akube@uchicago.edu
Data Science Institute
The University of Chicago
Teaching
My teaching focuses on helping students build confidence with data, code, statistical reasoning, and ethical decision-making. I design courses and activities that emphasize active learning, authentic data problems, and clear communication about technical ideas.
This page collects selected teaching materials, classroom activities, student resources, and course information from my work in data science education.
Featured Teaching Resources
Classroom Activities
Student FAQs and Guides
Instructor FAQs and Guides
Courses
I regularly teach across the undergraduate data science curriculum, including:
- DATA 119: Introduction to Data Science II
- DATA 120: Computer Science for Data Science
- DATA 221: Introduction to Machine Learning: Concepts and Applications
- DATA 259: Ethics, Fairness, Responsibility, and Privacy in Data Science
A more complete list of courses is available in my CV.
Teaching Philosophy
My teaching is grounded in the idea that students learn data science best by doing data science: asking questions, making mistakes, debugging, explaining their reasoning, and connecting technical choices to human consequences.