SAS Viya and R Integration for Machine Learning

Course code: ROSI35

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.

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Course dates

Starting date: Upon request

Type: Upon request

Course duration: 7 hours

Language: en

Price without VAT: 600 EUR

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Upon request Upon request 7 hours en 600 EUR Register
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Target group

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

Course structure

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.

Prerequisites

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

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