Spring 2021

STAT 159 001 - LEC 001

Reproducible and Collaborative Statistical Data Science

Philip B Stark, Fernando Perez

Jan 19, 2021 - May 07, 2021

Tu, Th

09:30 am - 10:59 am

Internet/Online

Class #:31588

Units: 4

Instruction Mode: Pending Review
Asynchronous Instruction

Offered through Statistics

Current Enrollment

Total Open Seats: 14

Enrolled: 42

Waitlisted: 0

Capacity: 56

Waitlist Max: 12

No Reserved Seats

2 hours of instructional experiences requiring special laboratory equipment and facilities per week, 3 hours of instructor presentation of course materials per week, and 8 hours of outside work hours per week.

Other classes by Philip B Stark

+ 1 Independent Study

STAT 299 030 030IND

Other classes by Fernando Perez

STAT 259 001 001LEC

+ 1 Independent Study

STAT 299 024 024IND

Course Catalog 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.

Class Notes

Asynchronous options will be available for students, but some realtime participation is required, for instance, in-class code reviews. Merely watching the recorded lectures will put you at a disadvantage. Prerequisites: 133, 134, 135, or equivalent knowledge of probability, statistics, and coding. Students are expected to have or acquire experience coding in Python and using revision control systems (Git). Lab sections will not be recorded and will be held at the scheduled times. show less