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Using SAS Viya REST APIs with Python and R

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5

(3)

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Course Features

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Duration

18 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

18 hours

Course Description

SAS Viya, an in-memory distributed environment that analyzes big data efficiently and quickly, is called SAS Viya. This course will teach you how to use SAS Viya APIs from a Jupyter Notebook with R or Python to control SAS Cloud Analytic Services. The SAS Scripting Wrapper to Analytics Transfer (SWAT) will teach you how to upload data to the cloud, analyze it, and create predictive models using SAS Viya. To tackle complex problems and data sets, you'll be able to create machine learning and deep-learning models. Once SAS Viya has completed the heavy lifting, then you will be able download data to clients and use native open-source syntax to create graphics and compare results.

Course Overview

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

You’ll learn how to use the SAS Viya APIs to take control of SAS Cloud Analytic Services from a Jupyter Notebook using R or Python

You’ll learn to upload data into the cloud, analyze data, and create predictive models with SAS Viya using familiar open source functionality via the SWAT package -- the SAS Scripting Wrapper for Analytics Transfer

You’ll learn how to create both machine learning and deep learning models to tackle a variety of data sets and complex problems

Course Instructors

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Jordan Bakerman

Analytical Training Consultant

Jordan Bakerman holds a Ph.D. in statistics from North Carolina State University. His dissertation centered on using social media to forecast real world events, such as civil unrest and influenza rat...
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Ari Zitin

Analytical Training Consultant

Ari Zitin is the instructor for this course

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