Analyzing Categorical Data in SAS

Categorical data is everywhere, from customer satisfaction surveys to clinical trial outcomes, but analyzing it requires specialized statistical methods. This text-only course guides you through the core concepts of categorical data analysis using SAS, starting with the absolute basics of data classification. You will transition from understanding simple frequency distributions to performing association tests and interpreting statistical relationships. Through clear written explanations and step-by-step code examples, you will gain the confidence to prepare, analyze, and report on qualitative data using standard SAS procedures. What you'll learn: 1. Identify and classify different types of categorical data, including nominal and ordinal variables. 2. Construct and analyze contingency tables using modern SAS Studio programming workflows. 3. Apply chi-square and exact tests to determine statistical significance between variables. 4. Measure the strength of associations using odds ratios and relative risk calculations. 5. Write clean, structured SAS code to clean and prepare categorical datasets. 6. Interpret statistical reports and output to make data-driven decisions. The course begins with foundational definitions and key terminology before guiding you through practical SAS syntax and output analysis. This course is designed for beginners who want to build a solid foundation in statistical analysis using SAS, with no prior programming experience required. Start reading today to unlock the power of categorical data analysis.