STAT 5301 - Foundation of Data Analysis with SAS Program

Credits: 3 Class: 3 Lab: 0
Prerequisite(s): College level introductory statistics course.
The course is designed for graduate students in data analytics. It is composed of two main components, the SAS programming language and its applications in statistical data analysis. Major aspects of SAS include inputting data from multiple formats, preparing and manipulating data for analysis, merging multiple data sources, and its applications in exploratory analyses. SAS functions and call routines are introduced for basic programming. Descriptive and inferential statistical analysis is covered in details with emphasis on hypothesis testing, categorical data analysis, simple, multivariate and logistic regression, analysis of variance models, and factor analysis