SAS
Using SAS Viya REST APIs with Python and R
SAS

Using SAS Viya REST APIs with Python and R

Taught in English

3,683 already enrolled

Course

Gain insight into a topic and learn the fundamentals

Jordan Bakerman
Ari Zitin

Instructors: Jordan Bakerman

4.7

(15 reviews)

18 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace

Details to know

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Assessments

23 quizzes

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There are 8 modules in this course

In this module, you meet the instructor and learn about course logistics, such as how to access the software for this course.

What's included

1 video4 readings1 app item

In this module you learn about the analytical processing engine behind SAS Viya, the Cloud Analytic Services server. You also learn how to submit data processing commands to SAS Viya from the open source languages R and Python.

What's included

10 videos5 quizzes1 app item

In this module you learn how to use R and Python to create, optimize, and assess SAS Viya predictive models. You also learn how to use R and Python to efficiently manage the creation and assessment of these models.

What's included

15 videos4 quizzes4 app items

In this module you learn how natural language processing is used to analyze collections of text documents. You also learn how to turn blocks of unstructured text into numeric inputs suitable for predictive modeling.

What's included

9 videos3 quizzes2 app items

In this module you learn how deep learning methods extend traditional neural network models with new options and architectures. You also learn how recurrent neural networks are used to model sequence data like time series and text strings, and how to create these models using R and Python APIs for SAS Viya.

What's included

13 videos3 quizzes2 app items

In this module you learn how to model time series using two popular methods, exponential smoothing and ARIMAX. You also learn how to use the R and Python APIs for SAS Viya to create forecasts using these classical methods and using recurrent neural networks for more complex problems.

What's included

11 videos4 quizzes2 app items

In this module you learn how convolutional neural networks are used to classify images and how to use the R and Python APIs for SAS Viya to create convolutional neural networks.

What's included

7 videos2 quizzes2 app items

In this module you learn how factorization machines are used to create recommendation engines and how to build factorization machine models in SAS Viya using the R and Python APIs.

What's included

4 videos2 quizzes2 app items

Instructors

Jordan Bakerman
SAS
4 Courses50,937 learners
Ari Zitin
SAS
2 Courses4,680 learners

Offered by

SAS

Recommended if you're interested in Data Analysis

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4.7

15 reviews

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RM
5

Reviewed on Oct 18, 2021

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