PROC SQL Fundamentals for Data Analysis in SAS

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

• Construct efficient PROC SQL queries using functions, aggregations, joins, and set operators in SAS
• Automate and parameterize SQL queries using macro variables for scalable data analysis workflows
• Manage, update, and maintain structured datasets and metadata following SQL best practices in SAS

• Basic computer and internet skills
• Ability to read course instructions in English and complete short practice activities