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

  • Tuition USD $800
  • Reviews star_rate star_rate star_rate star_rate star_half 839 Ratings
  • Course Code POSI34
  • Duration 1 day
  • Available Formats Classroom, Virtual

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.

Skills Gained

  • Use the Python API in SAS Viya.
  • Submit CAS actions from Python.
  • Manage, alter, and prepare data on the CAS server.
  • Implement and compare machine learning models on the CAS server.
  • Move data between the client and server.
  • Use Python syntax to wrap up CAS actions with functions and loops.
  • Promote data to persist in memory.

Who Can Benefit

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

Prerequisites

  • Before taking this class, you should have experience writing Python 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?

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When does class start/end?

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

Does the course schedule include a Lunchbreak?

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.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

The course is well organized, and I would recommend it. The cadence can be faster.

I learned a lot of directly usable skills from Tech Data. It will make an immediate impact in our work center.

Very well organized training material. The instruction was knowledgeable and ready to help or answer questions.

Sean was a fantastic instructor! He went beyond the material to help one understand!

Very happy with the initial communication in getting me the materials and credentials to obtain resources for the course. Course videos, labs and guides were made available during and for 1 year after completion of the course.
Thomas was the classroom instructor and did a great job. He's knowledgeable, engaging and made the course enjoyable.

8 options available

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  • Sep 22, 2020 Sep 22, 2020 (1 day)
    Location
    San Francisco, CA
    Language
    English
    Time
    9:00 AM 5:00 PM PST
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  • Oct 13, 2020 Oct 13, 2020 (1 day)
    Location
    New York, NY
    Language
    English
    Time
    9:00 AM 5:00 PM EST
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  • Oct 13, 2020 Oct 13, 2020 (1 day)
    Location
    Virtual
    Language
    English
    Time
    9:00 AM 5:00 PM EST
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  • Dec 3, 2020 Dec 3, 2020 (1 day)
    Location
    Arlington, VA
    Language
    English
    Time
    9:00 AM 5:00 PM EST
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  • Apr 8, 2021 Apr 9, 2021 (2 days)
    Location
    Virtual
    Language
    English
    Time
    1:00 PM 4:30 PM EST
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  • May 14, 2021 May 14, 2021 (1 day)
    Location
    Virtual
    Language
    English
    Time
    9:00 AM 5:00 PM EST
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  • Jul 8, 2021 Jul 9, 2021 (2 days)
    Location
    Virtual
    Language
    English
    Time
    1:00 PM 4:30 PM EST
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  • Oct 12, 2021 Oct 13, 2021 (2 days)
    Location
    Virtual
    Language
    English
    Time
    1:00 PM 4:30 PM EST
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