Collaborative and Reproducible Data Science (STAT 159/259)
This course covers both the how and why of reproducible and collaborative research by combining questions of good computational practice in science, open science and statistical data analysis, in the context of today’s research environment. Topics covered include scientific computing, computational and statistical issues involved with reproducibility, git fundamentals, and project documentation.
Instructor: Prof. Gaston Sanchez
Term: Fall
I am serving as a Graduate Student Instructor for this course. Course materials are available on the Fall 2026 course website.