Apply PROC SQL Fundamentals for Data Analysis in SAS

Overview

By the end of this course, learners will be able to construct efficient PROC SQL queries, apply SQL functions and aggregations, combine data using joins and set operators, automate queries with macro variables, and manage data and metadata within the SAS environment. Learners will also gain the ability to create, update, and maintain structured datasets while adhering to best practices in SQL-based data management. This course is designed to help learners build practical, job-ready skills in using PROC SQL for real-world data analysis and reporting tasks. Through structured modules and progressively complex examples, learners will move from foundational SQL concepts to advanced query automation and metadata maintenance. The hands-on approach enables learners to confidently transform, filter, and summarize large datasets using industry-standard SQL techniques in SAS. What makes this course unique is its end-to-end coverage of PROC SQL—from core query construction to advanced joins, subqueries, macro integration, and metadata governance. The course emphasizes practical application, clear conceptual understanding, and scalable SQL design, making it ideal for data analysts, SAS programmers, and professionals seeking to strengthen their SQL proficiency within SAS.

Syllabus

Foundations of PROC SQL in SAS

This module introduces the fundamentals of PROC SQL in SAS, focusing on core concepts, basic syntax, and essential SELECT operations. Learners gain a strong foundation in how SQL operates within the SAS environment, enabling them to retrieve, organize, and summarize data efficiently.

Functions and Data Summarization

This module explores SQL functions and aggregation techniques in PROC SQL, emphasizing data summarization, ordering, and clause usage. Learners develop the ability to manipulate data values and control query output using built-in functions and sorting logic.

Data Transformation and Filtering

This module focuses on transforming query results into reusable datasets and applying advanced filtering logic. Learners practice creating new columns, eliminating duplicates, and structuring complex queries using inline views and conditional logic.

Keys, Joins, and Set Operations

This module examines relational data concepts in PROC SQL, including keys, joins, subqueries, and set operators. Learners develop skills to combine datasets accurately and analyze relationships across multiple data sources.

Automation with PROC SQL and Macros

This module introduces automation techniques by integrating PROC SQL with SAS macro variables. Learners gain experience generating dynamic SQL code and using macro-driven logic to enhance query flexibility and reusability.

Data and Metadata Maintenance

This module focuses on managing data persistence and metadata using PROC SQL. Learners explore table creation, updates, structural modifications, and metadata-bound libraries to maintain data integrity and governance.