Cloud Analytics Programming with SAS Viya for Beginners

As organizations migrate their data operations to the cloud, the ability to programmatically analyze large-scale datasets is more critical than ever. This course introduces you to cloud-based analytics programming, helping you transition your data skills to modern, scalable environments. Through structured written explanations and practical code examples, you will learn how to navigate a cloud-analytics environment, prepare data, and run statistical models. You will gain the confidence to manipulate data in memory and execute analytics tasks that scale seamlessly. What you'll learn: - Understand the core architecture of cloud-based analytics and the SAS Viya environment - Import, clean, and prepare diverse datasets for cloud-based processing - Perform in-memory data manipulation and high-performance querying - Build and execute basic predictive models and machine learning workflows - Analyze programming results to extract actionable business insights - Apply modern data integration practices to connect cloud storage with your analytical pipelines The course begins with foundational cloud analytics concepts and key terminology before moving into hands-on programming techniques. You will progress from basic data steps to advanced multi-threaded processing and analytical modeling through written code walkthroughs. This course is designed for aspiring data analysts, programmers, and beginners who want to learn cloud-based data manipulation, with no prior experience with cloud platforms required. Start reading today to build a strong foundation in modern cloud analytics.