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SAS® Viya® and R Integration for Machine Learning

  • Tuition USD $800
  • Reviews star_rate star_rate star_rate star_rate star_half 531 Ratings
  • Course Code ROSI34
  • Duration 1 day
  • Available Formats Classroom, Virtual

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.

Who Can Benefit

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

Prerequisites

  • Before taking this course, you should have experience writing R programs for data analytics. There are no SAS prerequisites.

Course Details

SAS Viya and Open Source Integration

  • SAS Viya and 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.

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Lunchtime?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

Well organized course, supporting materials, and instructor. Good intro to AWS for various levels of participants - managers to developers.

The course is perfectly designed with material and labs to get hands on experience on AWS, nicely done!

Very educational and informative. Instructor was very Interactive so I had great learning. Presentation is very good. Venue is very convenient.

I felt the instructor had a wealth of knowledge. I would have liked to get access to the class materials sooner and have more time to access the labs. I would prefer to go through the lab in tandem with the materials

Class material was clear and well communicated. Virtual setup was easy. Plenty of material was provided ahead of time. Sean was a fantastic instructor.

4 options available

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  • Sep 23, 2020 Sep 23, 2020 (1 day)
    Location
    Virtual
    Language
    English
    Time
    12 PM 8:00 PM EST
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    Enroll
  • Sep 23, 2020 Sep 23, 2020 (1 day)
    Location
    San Francisco, CA
    Language
    English
    Time
    9:00 AM 5:00 PM PST
    Enroll
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  • Dec 4, 2020 Dec 4, 2020 (1 day)
    Location
    Virtual
    Language
    English
    Time
    9:00 AM 5:00 PM EST
    Enroll
    Enroll
  • Dec 4, 2020 Dec 4, 2020 (1 day)
    Location
    Arlington, VA
    Language
    English
    Time
    9:00 AM 5:00 PM EST
    Enroll
    Enroll
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