SAS Internet of Things Learning Subscription

Course code: SASIFLS

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.

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.

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Course dates

Starting date: Upon request

Type: Self-paced

Course duration: 365 days

Language: en

Price without VAT: 625 EUR

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Starting
date
Place
Type Course
duration
Language Price without VAT
Upon request Self-paced 365 days en 625 EUR Register
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Course description

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.

SAS Products Covered

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

Course structure

Includes the following on-demand courses:

SAS Event Stream Processing

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.

SAS Event Stream Processing Essentials

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.

Advanced Analytics for IoT Using SAS Event Stream Processing

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.

SAS Energy Forecasting Solution: Introduction

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.

Essentials of SAS Field Quality Analytics 6.3

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.

Advanced Topics for SAS Field Quality Analytics 6.3

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.

Certification

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

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