RCSDS - UC Berkeley

A project-based introduction to statistical data analysis. Through case studies, computer laboratories, and a term project, students learn practical techniques and tools for producing statistically sound and appropriate, reproducible, and verifiable computational answers to scientific questions. Course emphasizes version control, testing, process automation, code review, and collaborative programming. Software tools may include Bash, Git, pandoc, Makefile, Markdown, LaTeX, R, Python.


Discussions

Section Date Room GSI
101 M 9-11 344 Evans Sindhuja Jeyabal
102 M 12-2 344 Evans Sindhuja Jeyabal