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Internet of Things Analytics

Hands-on-learning with the tools of the future

Scholarships Available From Our Partners:

Clear Object Internet of Things Analytics Sponsor

Use code clearobject1000 at checkout for a $1,000 scholarship.

Only 10 available.

Use code verge500 at checkout for a $500 scholarship.

Only 5 available.

Use code indianaiotlab500 at checkout for a $500 scholarship.

Only 5 available.

Only 1 scholarship can be used per order. Cannot be combined with any other offers.

IoT Analytics

The future of almost every industry in the world will be powered by internet connectivity and machine-to-machine communications. IoT Analytics is all about extracting the most crucial information from these connected devices in order to transform the way products are created, enhance current produce, and build a more connected world.

What you can do with Internet of Things Analytics…

Sensors
EMBED SENSOR CONFIGURATION
Network Applications
DEVELOP CUSTOM ANALYTICS
Analyze Data
PERFORM PREDICTIVE ANALYTICS
Analyze Data2
PRODUCE ACTIONABLE INSIGHTS

Course Details

COURSE LENGTH: 4 DAYS

The 4-day internet of things course is all about exposing you and your team to the most critical tools you need to be ready for the future. Through this end-to-end IoT Analytics course, you’ll learn how to collect and analyze the data you’ve collected from connected devices. Trained instructors will walk you through embedding sensors and analyzing the information collected. You’ll use Raspberry Pi computers and R/C cars to create, collect, analyze the data.

  • Sensor Components Overview

    • Raspberry Pi 3 Model B
    • Astro Pi Sense Hat
    • Windows 10 IoT Core
    • Other Sensors

  • Azure Components Overview

    • Azure IoT Hub
    • Azure Storage
    • Azure Stream Analytics
    • Azure Machine Learning Studio

  • Sensor Configuration Instructions

    • Virtual Machine Login
    • IoT Firmware
    • Register Device
    • Integrated Development Environment (Visual Studio)
    • Set Startup Application
    • LHPWINDOWS10IOT Code

  • Azure Configuration

    • Azure Portal
    • Azure IoT Hub
    • Azure Storage
    • Azure Storage Explorer
    • Azure Stream Analytics
      • Creation
      • Add Inputs
      • Add Outputs
      • Write Query
      • Start

  • Data Modeling

    • Schemas
    • Power BI
      • Build and Manage a Model
      • Visualize Data
      • Example Dashboards from LHP Intern’s IoT Analytics Training
      • Example Dashboards from Internal Data at LHP Data Analytics
      • Example Data Models from Internal Data at LHP Data Analytics
    • Excel Reporting
      • Publish our Power BI Data Model
      • Go to Power BI Service
      • Visualize Data in Excel

  • Machine Learning

    • Azure Machine Learning Cheat Sheets
    • Azure Machine Learning Experiments
      • Navigating Azure Machine Learning Studio
      • Import Data
      • Data Transformation
      • Connect the Modules
      • Prepare Training and Test Data
      • Initialize a Machine Learning Algorithm
      • Train a Machine Learning Algorithm
      • Score a Trained Model
      • Evaluate Model Results
      • Run your Model
      • Analyze Results
    • Azure Machine Learning Web Services
      • Set Up Web Service
      • Modify Predictive Experiment
      • Deploy Web Service
      • Test the Web Service Endpoint

  • Sensor Configuration Optional Instructions

    • Linux Operating System
    • Register Device
    • Integrated Development Environment (Python 3 (idle))
    • Set Startup Application
    • Ihppthoniot Code

“Great learning atmosphere for everybody. The classes are extremely in depth and personal! I would recommend it to everyone, from beginners to advanced coders! “

| ELEVEN FIFTY STUDENT

Interested in taking this course?

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