SAS® Viya® and R Integration for Machine Learning

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.

Location: Live Web
Date: 18-19 SEP 2024
Time: 01:00 PM-04:30 PM EDT
Language: English
Fee: 1,000 USD

 

Frequently Asked Questions

One seat in your classroom or live web course along with 12 month access to the e-learning version (if available) to practice after class. The course includes course materials pdf and hands-on virtual labs to practice in the software. You will also have the option to accept a digital, shareable badge upon completion of the course.
Yes, if an e-Learning version of the course is available, it is included with your classroom or live web course. Your 12-month e-Learning access will start after you’ve completed the course.
Yes, hands-on labs are included to practice if available for the course.
Yes. Schedule private team training exclusively for your team either virtually or in-person, at your location or ours.
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