Analyze and Manipulate Data Using SAS PROC SQL

Overview

By the end of this course, learners will be able to analyze, query, and manipulate data efficiently using PROC SQL within the SAS programming environment. Learners will develop the ability to structure datasets, apply filtering logic, manage variables, and combine data from multiple sources using SQL joins and set operators. This course helps learners strengthen practical data handling skills by bridging traditional SAS programming with SQL-based data analysis techniques. Through step-by-step explanations and structured lessons, learners gain hands-on exposure to PROC SQL features such as variable renaming, labeling, formatting, filtering observations, and optimizing output using column selection. As the course progresses, learners advance to applying joins and set operators to solve real-world data preparation and analysis challenges. What makes this course unique is its focused, end-to-end coverage of PROC SQL—from foundational concepts to advanced data operations—without assuming prior SQL expertise. The course is ideal for SAS users, data analysts, and professionals seeking to improve efficiency, readability, and scalability in data workflows. By completing this course, learners will be equipped to write cleaner, more powerful PROC SQL queries that support accurate and insightful data analysis.

Syllabus

Getting Started with PROC SQL in SAS

This module introduces learners to PROC SQL in SAS, explaining its role, syntax, and advantages for querying and manipulating data, while covering essential techniques such as variable renaming, labeling, formatting, and filtering for effective data preparation.

Advanced Data Operations Using PROC SQL

This module focuses on advanced PROC SQL capabilities, including column management, SQL joins, and set operators, enabling learners to efficiently combine, structure, and analyze data from multiple sources within SAS.