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.
540 EUR

653 EUR including VAT

The earliest date from 08.10.2025

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Course dates

Starting date: 08.10.2025

Type: Virtual

Course duration: 7 days

Language: en

Price without VAT: 540 EUR

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Starting date: Upon request

Type: In-person/Virtual

Course duration: 7 days

Language: en/cz

Price without VAT: 540 EUR

Register

Starting
date
Place
Type Course
duration
Language Price without VAT
08.10.2025 Virtual 7 days en 540 EUR Register
Upon request In-person/Virtual 7 days en/cz 540 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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