Research shows 80% of analytical projects is dedicated to data preparation, making efficient data structuring workflows critical for productivity. This Short Course was created to help Data Analysis professionals accomplish rapid development of reproducible SAS Enterprise Guide pipelines using visual tools and automation features. By completing this course, you'll be able to build Query Builder flows for filtering, joining, and aggregating data, implement parameterized prompts for standardized reruns, validate generated SAS code for accuracy, and structure projects with clear traceability—capabilities you can deploy to production tomorrow.

By the end of this course, you will be able to: ● Use the Query Builder for filtering, sorting, and creating calculated columns ● Perform table joins, aggregations, and transpose operations for data reshaping ● Create prompts for user input and implement conditional execution logic to support standardized workflows ● Understand and validate generated SAS code, debug using the SAS log, and create repeatable analytical processes with governance controls This course is unique because it emphasizes the full analytical lifecycle from data manipulation through workflow automation to code validation, bridging point-and-click Query Builder operations with reproducible research principles and auditability requirements for regulated environments. To be successful in this project, you should have a background in data analysis fundamentals, basic SQL concepts, and analytical workflow design at CB2 intermediate-level expertise.