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SAS® Viya® and R Integration for Machine Learning

Course Details
Code: ROSI34
Tuition (USD): $800.00 • Classroom (1 day)
$800.00 • Virtual (1 day)

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.

Who Can Benefit

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

Prerequisites

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

Course Details

SAS Viya and Open Source Integration

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

Machine Learning

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