Spring 2023
STAT 259 101 - LAB 101
Reproducible and Collaborative Statistical Data Science
Facundo F Sapienza
Class #:25674
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Statistics
Current Enrollment
Total Open Seats:
0
Enrolled: 1
Waitlisted: 0
Capacity: 1
Waitlist Max: 4
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 Facundo F Sapienza
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.
Rules & Requirements
Credit Restrictions
Students will receive no credit for Statistics 259 after taking Statistics 159.
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