— Practice in Statistical Data Science

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Principles and practice of interdisciplinary, collaborative data analysis; complete case study review and team data analysis project. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Open to undergraduate Statistics and Data Science majors. Grade Mode: Letter. STA 160 — Practice in Statistical Data Science (4 units) Course Description: Principles and practice of interdisciplinary, collaborative data analysis; complete case study review and team data analysis project. Prerequisite(s): STA 141A C- or better. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics majors; Pass Two restricted to Statistics and Data Science majors. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Open to undergraduate Statistics and Data Science majors. Grade Mode: Letter. STA 160 — Practice in Statistical Data Science (4 units) Course Description: Principles and practice of interdisciplinary, collaborative data analysis; complete case study review and team data analysis project. Prerequisite(s): STA 141A C- or better. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics majors; Pass Two restricted to Statistics and Data Science majors. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027.