Advanced SAS Programming, Macros & Reporting

Learners completing this course will be able to design representative samples, construct and manage indexes, merge and transform datasets, apply SQL joins and SAS arrays, perform high-speed lookups using hash objects, create custom formats, modify datasets with transaction logic, and maintain version-controlled generational data. This comprehensive SAS Advanced Programming course equips learners with the practical expertise needed for real-world data engineering, analytics, and automation tasks. Through hands-on demonstrations, detailed examples, and step-by-step workflows, learners will gain confidence in solving complex data manipulation challenges using efficient SAS techniques. The curriculum blends foundational concepts with advanced capabilities such as keyed lookups, multidimensional arrays, hash-based retrieval, custom formatting, and change-tracking strategies—ensuring learners can build scalable, production-ready data processes. What makes this course unique is its modular skill-building structure, video-aligned lesson objectives, and progressive integration of SAS techniques, allowing learners to quickly progress from basic sampling to enterprise-grade dataset management. By the end of the course, participants will be equipped to optimize data workflows, enhance processing performance, and implement reliable, auditable SAS solutions across diverse analytical environments.

Learners will identify categorical data types, analyze distributions and associations, apply exact tests, construct logistic regression models, and evaluate model performance using SAS. This comprehensive course builds the full skill set needed to work confidently with categorical data across real-world analytical scenarios. Through hands-on demonstrations, learners gain practical experience generating frequency tables, interpreting crosstabulations, computing Fisher’s Exact p-values, and applying ordinal association techniques. The course then advances into logistic regression, where learners explore odds ratios, probability transformations, model assumptions, effect analysis, and multivariable modeling strategies. Learners also strengthen their predictive analytics skills by using backward elimination, ODS Graphics, honest assessment principles, and data-splitting frameworks. What makes this course unique is its end-to-end coverage of categorical analytics—from foundational concepts to advanced modeling—paired with step-by-step SAS guidance using real examples and interpretable outputs. By the end of the course, learners will be able to design, execute, and validate categorical models with confidence, accuracy, and professional-level competence.

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.

Learners will be able to create dynamic SAS programs, automate repetitive tasks, manage macro variables, debug macro behavior, and integrate SQL-driven automation to optimize real-world data processes. This comprehensive course provides a complete journey from foundational macro concepts to advanced automation techniques using SAS Enterprise Guide. Across five structured modules, learners progressively strengthen their macro skills—beginning with simple macro construction and variable handling, then advancing into conditional logic, text manipulation, flow control, dataset creation, and SQL-powered macro integration. Each lesson combines conceptual clarity with practical demonstrations, enabling learners to apply macro programming confidently in business, analytics, reporting, and automation scenarios. What makes this course unique is its step-by-step, example-driven approach based on real video walkthroughs, interactive macro usage, and practical debugging strategies. Learners benefit from clear explanations, scenario-based practice, and structured quizzes designed to reinforce mastery at every stage. By completing this course, learners will be equipped to streamline SAS workflows, reduce manual programming effort, and produce scalable, intelligent SAS automation solutions essential for modern data environments.