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 scientifc computing, computational and statistical issues involved with reproducibility, git fundementals, and project documentation.

Instructor: Prof. Fernando Perez

Term: Fall