Apply and Analyze Data Using SAS PROC SQL

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.

By the end of this course, learners will be able to analyze data using SAS SQL, construct efficient PROC SQL queries, apply subqueries and joins, and interpret complex data relationships within the SAS environment. Learners will also be able to explain how SAS processes programs, differentiate between DATA step and PROC SQL execution, and implement advanced SQL techniques for real-world data analysis scenarios. This course is designed for professionals and aspiring data analysts who want to strengthen their SQL skills specifically within SAS. Through a structured progression from foundational concepts to advanced querying techniques, learners gain hands-on exposure to querying single and multiple tables, creating calculated columns, filtering grouped data, and working with correlated subqueries and joins. Each module builds practical competence by combining conceptual clarity with applied SQL logic. What makes this course unique is its strong emphasis on SAS-specific SQL execution behavior, practical demonstrations, and real-world query design rather than generic SQL theory. By completing this course, learners will be equipped to write optimized, accurate, and maintainable PROC SQL code, enabling them to make data-driven decisions confidently in analytics, reporting, and enterprise data environments.

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.

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.