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 Can Benefit
R users who want to take advantage of SAS Viya distributed analytics for fast and efficient modeling
Before taking this course, you should have experience writing R programs for data analytics. There are no SAS prerequisites.
https://www.exitcertified.com/training/sas/-56088-detail.htmlROSI34SAS® Viya® and R Integration for Machine Learninghttps://assets.exitcertified.com/assets/CourseImages/5e8d4364ec/AdobeStock_109374076__FitMaxWzEwMDAsMTAwMF0.jpg800.00USDInStock/Training/SASIn this course, you learn to use the R API to take control of SAS Cloud Analytic Services (CAS) actions from Jupyter Notebook....800.00SASClassroomGTRJan 23, 2020 | Virtual2019-03-04T18:48:40+00:00USD