Analytics Applications Across the Data & AI Lifecycle

About this course

This course is designed for learners who are new to analytics or transitioning into a data-focused career. It provides a practical introduction to the SAS Viya platform and shows how data is transformed into insights and decisions across the full data and AI life cycle. Learners explore the core SAS Viya applications, including tools for discovering data assets, preparing and managing data, exploring and visualizing results, building predictive models, and automating decisions. Through guided demonstrations and hands-on workflows, learners gain experience working with in-memory data, creating visual process flows, developing and comparing models, and applying analytics to realistic business scenarios. The course emphasizes productivity, performance, trustworthy AI, and collaboration across technical and nontechnical roles. By the end of the course, learners understand how analytics teams use SAS Viya to solve business problems and can confidently describe their skills, tools, and workflows in job interviews or early career roles.

What you will learn

• Understand the SAS Viya platform and how it supports the end-to-end data and AI life cycle from data access to decisioning.
• Learn to discover, manage, and prepare data using SAS Information Catalog and SAS Data Explorer with in-memory CAS processing.
• Analyze and visualize data in SAS Visual Analytics and communicate insights by embedding live results in Microsoft apps with SAS for Microsoft 365.
• Build predictive models in SAS Model Studio and operationalize analytics-driven decisions using SAS Intelligent Decisioning.