— SAS Programming for Statistical Analysis

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Introductory SAS language, data management, statistical applications, methods. Includes basics, graphics, summary statistics, data sets, variables and functions, linear models, repetitive code, simple macros, GLIM and GAM, formatting output, correspondence analysis, bootstrap. Prepare SAS base programmer certification exam. Learning Activities: Lecture 2 hour(s), Discussion/Laboratory 1 hour(s). Grade Mode: Letter. STA 201 — SAS Programming for Statistical Analysis (3 units) Course Description: Introductory SAS language, data management, statistical applications, methods. Includes basics, graphics, summary statistics, data sets, variables and functions, linear models, repetitive code, simple macros, GLIM and GAM, formatting output, correspondence analysis, bootstrap. Prepare SAS base programmer certification exam. Prerequisite(s): Upper division Statistics course and knowledge of vectors and matrices. Learning Activities: Lecture 2 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Pass One open to Statistics and Biostatistics graduate students; Pass Two open to graduate students. Grade Mode: Letter. This course version is effective from, and including: Spring Quarter 2027. Learning Activities: Lecture 2 hour(s), Discussion/Laboratory 1 hour(s). Grade Mode: Letter. STA 201 — SAS Programming for Statistical Analysis (3 units) Course Description: Introductory SAS language, data management, statistical applications, methods. Includes basics, graphics, summary statistics, data sets, variables and functions, linear models, repetitive code, simple macros, GLIM and GAM, formatting output, correspondence analysis, bootstrap. Prepare SAS base programmer certification exam. Prerequisite(s): Upper division Statistics course and knowledge of vectors and matrices. Learning Activities: Lecture 2 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Pass One open to Statistics and Biostatistics graduate students; Pass Two open to graduate students. Grade Mode: Letter. This course version is effective from, and including: Spring Quarter 2027.