Overview

Learners will build, query, analyze, optimize, and maintain SAS datasets using PROC SQL. They will apply joins, construct complex queries, generate reports, automate workflows with macro variables, enforce data integrity with constraints, and troubleshoot performance issues across real-world data scenarios. This comprehensive course equips learners with the practical skills needed to work confidently with SQL inside the SAS environment. Throughout the course, learners benefit from hands-on demonstrations, clear explanations of SQL logic, and structured modules that progressively develop beginner to advanced capabilities. By the end, learners will be able to transform raw datasets into reliable, meaningful insights using professional SQL techniques. What makes this course unique is its complete coverage of PROC SQL—from foundational SELECT statements to advanced subqueries, indexing strategies, metadata manipulation, and matrix-style analytical logic rarely covered in traditional SQL training. The combination of SAS-focused best practices, real examples, and step-by-step problem-solving ensures that learners not only understand how PROC SQL works but also why certain techniques produce better accuracy, performance, and scalability.

Syllabus

Foundations of PROC SQL in SAS

This module introduces learners to the fundamentals of PROC SQL in SAS, covering essential SQL syntax, selection operations, basic functions, and foundational grouping techniques used in data processing.

Working with Functions & Data Organization

This module builds on core SQL skills by exploring random number generation, aggregate computations, ordering logic, and foundational SQL clause interactions used for structured data analysis.

Dataset Handling and Filtering Logic

This module teaches learners to manage SAS datasets using PROC SQL, including creating result tables, computing new columns, applying filter logic, and detecting sequential or data structure issues.

Advanced Column Handling & Joins Fundamentals

This module introduces inline views, explores key structures, examines join behavior, and builds competency in subqueries and correlated subquery logic.

Set Operators, Views, Reports & Metadata

This module covers set operations, dictionary tables, creation of SQL views, reporting techniques, and formatting strategies to enhance data presentation.

Coding Logic & Macro Integration

This module deepens understanding of logical operators, character handling, row analysis, and macro variable creation to support dynamic, automated SQL workflows.

Data Maintenance, Constraints & Indexing

This module teaches table creation, metadata updates, numeric data handling, and constraint enforcement through keys and indexes to maintain relational integrity.

Mastering Joins, Complex Queries & Optimization

This module builds expertise in multi-table joins, complex SQL query structures, view layering, debugging, and performance tuning for optimized SQL execution.

Subqueries, Table Creation & Applied SQL Logic

This final module integrates advanced SQL capabilities, including multi-level subqueries, dynamic table creation and population, constraint enforcement, and matrix-style analytical solutions.