Spring 2022
STAT 159 001 - LEC 001
Reproducible and Collaborative Statistical Data Science
Fernando Perez
Class #:29347
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Statistics
Current Enrollment
Total Open Seats:
2
Enrolled: 57
Waitlisted: 0
Capacity: 59
Waitlist Max: 0
No Reserved Seats
Hours & Workload
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 Fernando Perez
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
Prep: Python programming at the level of Data 100.
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials