SAS(R) Viya(R) and Python Integration for Machine Learning

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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Course dates

Starting date: Upon request

Type: Upon request

Course duration: 7 hours

Language: en

Price without VAT: 600 EUR

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Target group

Python users who want to take advantage of distributed analytics in SAS Viya for fast and efficient modeling

Course structure

SAS Viya and Open Source Integration

  • SAS Viya and SAS Cloud Analytic Services (CAS).
  • Open-source development interfaces.
  • Scripting Wrapper for Analytics Transfer (SWAT).
  • Fundamentals of the R and Python APIs.

Machine Learning

  • Predictive modeling.
  • Predictive models.
  • Model assessment.

Prerequisites

Before taking this class, you should have experience writing Python programs for data analytics. There are no SAS prerequisites.

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