Data Preparation for SAS Visual Analytics and SAS Viya

Great business decisions rely on clean, well-structured data, but raw data is rarely ready for immediate analysis. Learning how to properly ingest, investigate, and transform your data within the modern SAS Viya ecosystem is the critical first step to generating reliable insights. This text-based course guides you through the foundational concepts of data preparation using SAS Visual Analytics and SAS Data Studio. You will learn how to transition from messy, raw data sources to structured, optimized datasets that power clear and impactful visual reports. What you'll learn: - Understand the core architecture of the SAS Viya platform and how SAS Visual Analytics interacts with data. - Access and import diverse data sources into the SAS environment for exploration. - Investigate data quality issues, anomalies, and distributions using built-in profiling tools. - Perform essential data cleansing operations, including filtering, joining, and column transformations in SAS Data Studio. - Apply modern data quality standards and automated transformation rules to streamline your preparation workflow. - Prepare optimized target tables specifically tailored for high-performance reporting and dashboarding. The course begins with essential terminology and platform navigation before walking you through step-by-step data investigation techniques and data transformation workflows. You will read clear explanations and follow structured written examples that demonstrate how to shape data for real-world reporting needs. This course is designed for beginners, data analysts, and business professionals who want to learn how to prepare their own data without needing advanced programming skills. No prior experience with SAS Viya or data engineering is required. Start building a solid foundation in data preparation today.