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.

Apply Advanced PROC SQL Techniques for Data Analysis

Recommended experience
What you'll learn
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.
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February 2026
20 assignments
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There are 5 modules in this course
This module introduces core PROC SQL techniques for creating numeric and character data, applying logical conditions, exploring metadata, and generating structured reports, enabling learners to build a strong foundation in SQL-based data manipulation within SAS.
What's included
9 videos4 assignments
This module focuses on creating reusable SQL views, managing libraries, formatting query output, and implementing grouping and conditional logic to build professional, readable, and maintainable PROC SQL reports.
What's included
9 videos4 assignments
This module covers advanced SQL logic, automation through macro variables, data population techniques, and enforcement of data integrity using constraints and relational keys in PROC SQL.
What's included
9 videos4 assignments
This module emphasizes query optimization through indexing strategies, efficient join techniques, and performance analysis to handle complex, multi-table PROC SQL queries effectively.
What's included
9 videos4 assignments
This module equips learners with advanced debugging techniques, performance tuning strategies, subquery implementations, and matrix-style SQL solutions for solving complex analytical problems in PROC SQL.
What's included
10 videos4 assignments
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