Advanced PROC SQL Techniques for Data Analysis

By the end of this course, learners will be able to design advanced PROC SQL queries, apply conditional logic, build reusable views, optimize query performance, and troubleshoot complex SQL workflows within the SAS environment. This course provides an in-depth, hands-on exploration of advanced PROC SQL concepts, moving beyond basic querying to focus on real-world data manipulation, reporting, automation, and performance optimization. Learners will progressively develop skills in creating derived data, managing character and numeric transformations, implementing CASE logic, enforcing data integrity with constraints and keys, and designing efficient joins and indexes. The course also covers advanced topics such as debugging techniques, query tuning, subqueries, and matrix-style SQL solutions for multi-dimensional analysis. By completing this course, learners gain practical expertise required for data analyst, SAS programmer, and reporting specialist roles, enabling them to write efficient, maintainable, and scalable SQL code. What makes this course unique is its end-to-end PROC SQL focus—combining logic, performance, automation, and troubleshooting—supported by structured modules, practice quizzes, and graded assessments aligned to real enterprise use cases. This course is ideal for learners who want to apply, analyze, and optimize PROC SQL for professional data analysis and reporting workflows

• Design advanced PROC SQL queries using conditional logic, views, subqueries, and reusable SQL patterns
• Optimize PROC SQL performance through efficient joins, indexing, query tuning, and debugging techniques
• Troubleshoot and maintain complex SQL workflows for scalable, enterprise-grade data analysis in SAS

• No deep prior experience is required, but basic computer and internet skills are helpful
• Ability to read course instructions in English and complete short practice activities