Analyze and Query Data Using SAS SQL

Overview

By the end of this course, learners will be able to analyze data using SAS SQL, construct efficient PROC SQL queries, apply subqueries and joins, and interpret complex data relationships within the SAS environment. Learners will also be able to explain how SAS processes programs, differentiate between DATA step and PROC SQL execution, and implement advanced SQL techniques for real-world data analysis scenarios. This course is designed for professionals and aspiring data analysts who want to strengthen their SQL skills specifically within SAS. Through a structured progression from foundational concepts to advanced querying techniques, learners gain hands-on exposure to querying single and multiple tables, creating calculated columns, filtering grouped data, and working with correlated subqueries and joins. Each module builds practical competence by combining conceptual clarity with applied SQL logic. What makes this course unique is its strong emphasis on SAS-specific SQL execution behavior, practical demonstrations, and real-world query design rather than generic SQL theory. By completing this course, learners will be equipped to write optimized, accurate, and maintainable PROC SQL code, enabling them to make data-driven decisions confidently in analytics, reporting, and enterprise data environments.

Syllabus

Foundations of SAS SQL Processing

This module introduces the foundational concepts of SAS SQL, explaining how SAS processes data, how programs are compiled and executed, and how PROC SQL is used to retrieve and manipulate data efficiently within the SAS environment.

Querying Data with PROC SQL

This module focuses on querying data using PROC SQL, including writing queries across multiple tables, applying filters and sorting, and using subqueries to handle more complex data retrieval scenarios.

Advanced SQL Constructs and Joins

This module advances learners’ SQL skills by covering subqueries, group filtering, correlated queries, and join operations, enabling efficient handling of complex data relationships in SAS SQL.