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SAS-ROSI35 | SAS® Viya® and R Integration for Machine Learning

SAS-ROSI35

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1 Day(s)

Instructor-Led Training

from SGD $1320*

Course Schedules

19 Apr 2024

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Exam Code

Course Duration

1 Day(s)

Delivery Mode

Instructor-Led Training

Course Price

from $1320
*Course Pricing Subjected to Terms & Conditions.

Course OVERVIEW

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 IS THE COURSE FOR?

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

ATTAINABLE SKILLS

• Use the R API in SAS Viya.

• Submit CAS actions from R.

• Manage, alter, and prepare data on the CAS server.

• Implement and compare machine learning models on the CAS server.

• Move data between the client and server.

• Use R syntax to wrap up CAS actions with functions and loops.

• Promote data to persist in memory.

LEARNING PATHWAY

Module 1: SAS Viya and Open Source Integration

Module 2: Machine Learning

FULL COURSE OUTLINE 👉

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