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.
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and certified lecturers
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recognized certifications
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and soft skills courses
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exactly to measure your needs
Starting date: Upon request
Type: In-person/Virtual
Course duration: 7 days
Language: en/cz
Price without VAT: 540 EUR
| Starting date |
Place |
Type | Course duration |
Language | Price without VAT | ||
|---|---|---|---|---|---|---|---|
| Upon request | In-person/Virtual | 7 days | en/cz | 540 EUR | Register | ||
| G | Guaranteed course | ||||||
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.
