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Business Intelligence for IoT Solutions
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.
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.
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Rating | Not enough ratings |
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Length | 4 weeks |
Effort | 2 - 3 hours per week |
Starts | Oct 1 (240 weeks ago) |
Cost | $99 |
From | Microsoft via edX |
Instructors | Chris Howd, Rob Collins |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming |
Tags | Computer Science |
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Rating | Not enough ratings |
---|---|
Length | 4 weeks |
Effort | 2 - 3 hours per week |
Starts | Oct 1 (240 weeks ago) |
Cost | $99 |
From | Microsoft via edX |
Instructors | Chris Howd, Rob Collins |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming |
Tags | Computer Science |
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