Data Preparation, Mapping, and Forecasting in SAS Visual Analytics

Organizations rely on location-based insights and predictive trends to make critical business decisions, but raw data is rarely ready for immediate analysis. Understanding how to structure, clean, and model this data is the first step to unlocking its true value. This course guides you through the process of preparing geospatial and time-series data, building interactive geographic maps, and generating accurate forecasts. You will learn how to transform messy datasets into clean, analysis-ready formats and use advanced visualization tools to reveal hidden patterns. What you'll learn: - Understand the fundamental data structures required for geographic mapping and time-series forecasting. - Prepare and restructure complex datasets using SAS Data Studio. - Configure geographic data items and coordinate systems for precise mapping. - Create interactive geo maps that visualize spatial relationships and regional performance. - Apply forecasting models to project future trends based on historical data. - Evaluate forecast confidence intervals and identify seasonal patterns. You will start with the core concepts of data hygiene and spatial relationships before moving step-by-step through data preparation, map design, and predictive modeling workflows. Through clear written explanations and structured data examples, you will build a solid foundation in modern analytics. This course is designed for beginner data analysts, business intelligence professionals, and anyone looking to expand their skills in spatial and predictive analytics. No prior experience with SAS tools is required. Start learning today to turn your location and historical data into actionable business foresight.