In this course, you learn to use the R API to take control of SAS Cloud Analytic Services (CAS) actions from Jupyter Notebook. You learn to upload data into the in-memory distributed environment, analyze data, and create predictive models in CAS using familiar R functionality via the SWAT (SAS Wrapper for Analytics Transfer) package. You then learn to download results to the client and use native R syntax to compare models.

Promote data to persist in memory.

Zielgruppe / Who should attend

R users who want to take advantage of SAS Viya distributed analytics for fast and efficient modeling

Verfügbare Schulungsformen / Formats available	Dauer
Präsenzkurs:	1.0 Tag
Live Web Class:	7 Stunden

Before taking this course, you should have experience writing R programs for data analytics. There are no SAS prerequisites.

In diesem Kurs wird mit folgenden Software Modulen gearbeitet: SAS Viya, SAS Visual Data Mining and Machine Learning Software

• SAS Viya and Cloud Analytic Services (CAS).
• Open source development interfaces.
• Scripting Wrapper for Analytics Transfer (SWAT).
• Fundamentals of the R and Python APIs.

• Predictive modeling.
• Predictive models.
• Model assessment.