Analytics Applications Across the Data & AI Lifecycle
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...
By Stacey Syphus on Coursera
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.
Topics Covered
Frequently Asked Questions
How much does Analytics Applications Across the Data & AI Lifecycle cost?
Visit the Analytics Applications Across the Data & AI Lifecycle course page for current pricing and available discounts.
Who teaches Analytics Applications Across the Data & AI Lifecycle?
Analytics Applications Across the Data & AI Lifecycle is taught by Stacey Syphus, SAS.
What skill level is Analytics Applications Across the Data & AI Lifecycle for?
This course is designed for beginner learners.
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