SAS Visual Analytics for Network, Path, and Text Analysis

Modern data analysis requires more than just simple bar charts and tables; it demands the ability to see connections, track journeys, and understand the sentiment behind words. This course provides a clear path for anyone looking to move beyond basic reporting into the realm of advanced visual discovery. You will learn how to transform raw data into interactive visual stories that reveal how entities interact, how processes flow, and what your customers are actually saying. By the end of this course, you will be able to structure your data correctly and apply sophisticated analytical objects to uncover insights that traditional reporting often misses. What you'll learn: - Understand the fundamental data structures required for relational and sequential analysis - Build network analysis diagrams to visualize complex connections between entities - Create path analysis reports to track event sequences and user journeys - Apply text analytics techniques to extract meaning and sentiment from unstructured data - Configure interactive filters and data roles to refine visual insights - Practice modern data storytelling principles to communicate findings effectively The course begins with essential terminology and foundational concepts of data preparation before moving into detailed written explanations of each analysis type. You will progress through logical modules that explain how to set up, refine, and interpret your visualizations. This course is designed for beginners who are new to advanced visualization techniques. No prior experience with these specific analysis types is required to start learning. Start building more impactful reports today by mastering these advanced analytical techniques.