SAS Internet of Things Learning Subscription

Learn how to create and sustain true value from diverse Internet of Things (IoT) data and initiatives, whether that data is at the edge, in the cloud or anywhere in between.
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7-Day Trial
Purchase this digital subscription to:
Unlock digital courses
Unlimited access to digital courses and books in this subscription.
Prepare for certification
Unlimited access to certification preparation materials.
Shareable digital badges
Earn a digital badge for each completed course.
Hands-on learning and practice
Get Full access to SAS software to practice as you learn.

About this Subscription



The robust, scalable, and open edge-to-enterprise platform in SAS bridges IT and operational environments while spanning the entire artificial intelligence life cycle. From visualization and statistical modeling to descriptive, predictive, and prescriptive analytics, SAS delivers deep expertise in IoT analytics – including AI, machine learning, and deep learning – to help you reduce risk and gain real business value. Learn how AIoT helps elevate the customer experience, reduce downtime, and more. This learning subscription is designed for developers and architects who design and create applications that process IoT streams in real time, operators who manage IoT project deployments, and data scientists and analysts who gain insights from streaming data while it is in motion. Energy forecasting is also covered for those scientists in the utility industry.

Learn how to:
  • Build SAS Event Stream Processing applications that ingest high-volume and high-velocity data streams, respond in real time, and store only relevant data elements.
  • Apply advanced analytics techniques to IoT processes.
  • Construct streaming analytics projects.
  • Include your own SAS Analytics models in streaming projects.
  • Understand the forecasting process and the data used in load modeling and forecasting.
  • Learn basic modeling and forecasting concepts used in SAS Energy Forecasting.

    • Courses Included in Subscription

    IoT Topics

    1

    • COURSE

      SAS® Event Stream Processing: Essentials (6.2)
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      This course teaches you how to build SAS Event Stream Processing applications that ingest high-volume and high-velocity data streams, respond in real time, and store only relevant data elements. The course discusses basic concepts of event stream processing and introduces the component objects with which to build event stream processing applications.

    • COURSE

      SAS® Event Stream Processing Essentials
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      This course teaches you how to build SAS Event Stream Processing applications that ingest high-volume and high-velocity data streams, respond in real time, and store only relevant data elements. The course discusses basic concepts of event stream processing and introduces the component objects with which to build event stream processing applications.

    • COURSE

      Advanced Analytics for IoT Using SAS® Event Stream Processing
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      This course teaches you how to apply advanced analytics techniques to IoT processes. The course addresses analysis of data at rest as well as streaming data. By using the SAS Viya environment with SAS Event Stream Processing, you learn how to deploy your own deep learning models to streaming data.

      The self-study e-learning includes:

      • Annotatable course notes in PDF format.
      • Virtual lab time to practice.


    • COURSE

      SAS® Energy Forecasting Solution: Introduction
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      This course is one of multiple planned courses related to SAS Energy Forecasting, and the focus is on load forecasting and modeling concepts. The purpose of this course is to provide an overview of the utility load forecasting challenge, the details of the forecasts and modeling in SAS Energy Forecasting, and the specific features relevant to the industry, such as probabilistic long-term forecasts and multiple types of hierarchies needed in the modeling of electric utility loads.The course does not cover solution details such as the solution data model, solution user interface, implementation and delivery, or working in SAS Viya. The primary objective of this course is to provide students with a deeper understanding of utility load forecasting and modeling concepts involved in the different utility decisioning time frames.

    Field Quality Analytics

    2

    • COURSE

      Essentials of SAS® Field Quality Analytics 6.3
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      This course addresses SAS Field Quality Analytics and teaches end users how to select product and field event data and perform analyses.

      The self-study e-learning includes:

      • Annotatable course notes in PDF format.
      • Virtual lab time to practice.


    • COURSE

      Advanced Topics for SAS® Field Quality Analytics 6.3
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      This course addresses SAS Field Quality Analytics. The course teaches power users of the solution how to configure advanced analysis settings and how to perform and interpret advanced and early warning analyses.

      The self-study e-learning includes:

      • Annotatable course notes in PDF format.
      • Virtual lab time to practice.


    SAS Products Covered

    • SAS Event Stream Processing
    • SAS Data Quality Solution
    • SAS Analytics Platform
    • SAS Supply Chain Intelligence
    • SAS Field Quality Analytics


    Digital Badges

    Earn a digital badge for each course that you complete and for each credential that you earn. Show off your achievements on your resume and in your social channels to highlight your skills and connect with potential employers.

    Certification Preparation

    This learning subscription is not currently associated with a SAS credential. 

    “I think the self-paced training was the BEST I’ve ever taken. The videos were short and segmented correctly to keep my attention and the activities and quizzes were just enough to help my confidence.”

    Tony Mayo, SAS Customer