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Business Intelligence for IoT Solutions

Microsoft via edX

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Overview

This course is part of the Microsoft Professional Program Certificate in IoT.

Are you ready to create data visualization reports that help you to discover hidden trends in your business data? Do you want to get up-to-speed on the latest tools?  

This course guides students through a series of lab activities that provide hands-on experience querying and visualizing data. After completing this course, students will be able to construct IoT data visualizations that allow a business to gain insights related to its operations. 

The first module examines the characteristics of time series data – how it can be used for analysis and prediction. It specifically walks the student through how IoT telemetry data is typically generated as time series data and techniques for managing and analyzing it with Azure Time Series Insights.

Module two takes a closer look at specific features of Azure Time Series Insights – how it can be used to store, analyze and instantly query massive amounts of time series data.

In the third module, students get a general introduction to using Power BI, with specific emphasis on how Power BI can load, transform and visualize IoT data sets.

In the final module, students will move from using BI with static IoT data sets to working with real time streaming IoT data.  Students use Azure Stream Analytics as a data source for Power BI and explore the unique capabilities and insights that provides.

Syllabus

This course is completely lab-based. There are no lectures or required reading sections. All of the learning content that you will need is embedded directly into the labs, right where and when you need it. Introductions to tools and technologies, references to additional content, video demonstrations, and code explanations are all built into the labs.

Some assessment questions will be presented during the labs. These questions will help you to prepare for the final assessment.

The course includes four modules, each of which contains two or more lab activities. The lab outline is provided below.

Module 1: Time Series Data
  • Lab 1: Introducing Time Series Insights
  • Lab 2: Producing Simulated Data
  • Lab 3: Provisioning Time Series Insights
  • Lab 4: Analysis with Time Series Insights
Module 2: Visualizing and Querying Data
  • Lab 1: Setting Up Data Generation
  • Lab 2: Using Time Series Analysis Patterns
  • Lab 3: Using Advanced TSI Features
  • Lab 4: Managing Time Series Insights
Module 3: Power BI and IoT
  • Lab 1: Introducing Power BI
  • Lab 2: Transforming Data
  • Lab 3: Modeling Data
  • Lab 4: Visualizing Data
Module 4: Streaming with Power BI
  • Lab 1: Using Power BI with Streaming Data
  • Lab 2: Configuring Power BI
  • Lab 3: Using Power BI in an IoT architecture
  • Lab 4: Sharing Power BI Dashboards

Taught by

Chris Howd and Rob Collins

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