Overview

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.

Syllabus

Mastering Sampling Techniques in SAS

This module introduces foundational and advanced sampling methods in SAS, including systematic sampling, random sampling with and without replacement, and practical examples. Learners explore how to design representative samples, understand sampling intervals, and apply SAS procedures to generate statistically sound subsets of data.

Advanced Indexing & Data Integration

This module explores indexing fundamentals, vertical data integration, raw file handling, and SAS dataset management. Learners gain proficiency in creating and managing indexes, combining datasets efficiently, reading raw files, and understanding SAS processing behavior during data stacking operations.

Horizontal Data Management & Arrays

This module covers horizontal data merging, BY-group processing, SAS array programming, and SQL joining techniques. Learners develop skills in combining datasets using keys, simplifying repeated logic with arrays, and leveraging PROC SQL for flexible dataset integration.

Key-Based Merging & Lookup Techniques

This module introduces advanced merging techniques using KEY= options, lookup tables, hash-based retrieval, and many-to-many merge strategies. Learners gain mastery in efficient data matching, keyed access, and resolving complex merge conditions.

Hash Objects, Arrays & Formatting Techniques

This module provides in-depth coverage of SAS hash objects, multidimensional arrays, lookup mappings, and custom formatting strategies. Learners learn to perform fast in-memory lookups, build dynamic mappings, and manage data formatting techniques for optimized SAS workflows.

Custom Formats, Dataset Modification & Change Tracking

This module focuses on creating custom SAS formats, leveraging CNTLIN datasets, updating and managing SAS datasets, handling duplicates, and generating historical dataset versions. Learners master essential data governance and change-tracking techniques in SAS programming.