STAT159

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STAT 159 - Reproducible and Collaborative Statistical Data Science

Statistics Undergraduate CDSS - Clg of Comp Data Sci & Society

Subject

STAT

Course Number

159

Department

Statistics

Course Level

Undergraduate

Course Title

Reproducible and Collaborative Statistical Data Science

Course Description

A project-based introduction to statistical data analysis. Through case studies, computer laboratories, and a term project, students will 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, Python, and LaTeX.

Minimum Units

4

Maximum Units

4

Grading Basis

Default Letter Grade; P/NP Option

Prerequisites

Statistics 133, Statistics 134, and Statistics 135 (or equivalent).

Repeat Rules

Course is not repeatable for credit.

Formats

Lecture, Laboratory

Term

Fall and Spring

Weeks

15 weeks

Weeks

15

Lecture Hours

3

Laboratory Hours

2

Outside Work Hours

8