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.

A quién va dirigido

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

Formatos disponibles	Duración
Presencial:	1.0 día
Live Web:	2 sesiones de medio día

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

Este curso utiliza 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.