Course code: POSI35
In this course, you learn to use the Python 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 Python functionality via the SWAT (SAS Wrapper for Analytics Transfer) package. You then learn to download results to the client and use native Python syntax to compare models.
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Starting date: Upon request
Type: Upon request
Course duration: 1 day
Language: en
Price without VAT: 540 EUR
| Starting date |
Place |
Type | Course duration |
Language | Price without VAT | ||
|---|---|---|---|---|---|---|---|
| Upon request | Upon request | 1 day | en | 540 EUR | Register | ||
| G | Guaranteed course | ||||||
Python users who want to take advantage of distributed analytics in SAS Viya for fast and efficient modeling
Before taking this class, you should have experience writing Python programs for data analytics. There are no SAS prerequisites.
