— ROSI35

ROSI35 | SAS Viya and R Integration for Machine Learning

ROSI35

No Exam

1 Day(s)

Instructor-Led Training

SGD $1320

Course Schedules

TELL YOUR FRIENDS

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 👉

Related Courses

You might also be interested in these courses

sas-banner-single
SAS-ST142 | Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
sas-banner-single
SAS-DIDP01 | Self - Service Data Preparation in SAS Viya
sas-banner-single
PGVY2 | Programming for SAS Viya
sas-banner-single
SAS-AAEM51 | Applied Analytics Using SAS Enterprise Miner
sas-banner-single
CPML01 | Supervised Machine Learning Using SAS Viya
sas-banner-single
SAS-JCSA16 | JMP® Software: A Case Study Approach to Data Exploration

Have A Question?

WE'RE Here To Assist You 😊

Alternatively, you may contact us via live chat on the bottom right of your browser.