— Statistical Practice & Data Analysis

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Principles and practice of interdisciplinary collaboration in statistics, statistical consulting, ethical aspects, and basics of data analysis and study design. Emphasis on practical consulting and collaboration of statisticians with clients and scientists under instructor supervision. Learning Activities: Lecture/Discussion 3 hour(s). Enrollment Restriction(s): Open to students enrolled in the graduate program in Statistics or Biostatistics, as the class also serves to provide professional service to clients and collaborators who work with the students. Repeat Credit: May be repeated 1 time(s). Grade Mode: Letter. STA 260 — Statistical Practice & Data Analysis (3 units) Course Description: Principles and practice of interdisciplinary collaboration in statistics, statistical consulting, ethical aspects, and basics of data analysis and study design. Emphasis on practical consulting and collaboration of statisticians with clients and scientists under instructor supervision. Prerequisite(s): STA 207 or STA 232B ; working knowledge of advanced statistical software and the equivalent of STA 207 or STA 232B . Learning Activities: Lecture/Discussion 3 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics and Biostatistics graduate students; Pass Two restricted to graduate students. Repeat Credit: May be repeated 1 time(s). Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027. Learning Activities: Lecture/Discussion 3 hour(s). Enrollment Restriction(s): Open to students enrolled in the graduate program in Statistics or Biostatistics, as the class also serves to provide professional service to clients and collaborators who work with the students. Repeat Credit: May be repeated 1 time(s). Grade Mode: Letter. STA 260 — Statistical Practice & Data Analysis (3 units) Course Description: Principles and practice of interdisciplinary collaboration in statistics, statistical consulting, ethical aspects, and basics of data analysis and study design. Emphasis on practical consulting and collaboration of statisticians with clients and scientists under instructor supervision. Prerequisite(s): STA 207 or STA 232B ; working knowledge of advanced statistical software and the equivalent of STA 207 or STA 232B . Learning Activities: Lecture/Discussion 3 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics and Biostatistics graduate students; Pass Two restricted to graduate students. Repeat Credit: May be repeated 1 time(s). Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027.