Description

Azure Data Analytics for Developers

Azure Data Analytics for Developers
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 3.57 GB Genre: eLearning | Language: English
Want to learn about cutting-edge data science technologies-

Azure Machine Learning and Azure Stream Analytics? Join experts

Christopher Harrison and Jeff Prosise for this course, which is part of an exciting new series from

Wintellect and Microsoft, and see how these technologies can help you, as a developer, to build more intelligent apps.

How this course will help you

Walk through the platforms and features, and then see real-world implementation examples, from a developer standpoint. Learn the steps involved in creating and publishing a model

, explore building and connecting the app to that model, and see how to build and implement Event Hubs and data collection.

Find out what you need to make the most of these technologies for data science applications.

Join experts Christopher Harrison and Jeff Prosise for this course, which is part of an exciting new series from Wintellect and Microsoft.

Azure Machine Learning and Azure Stream Analytics are two cutting-edge data science technologies that let developers build more intelligent apps.

How this course will help you

Learn the steps involved in creating and publishing a model, explore building and connecting the app to that model, and see how to build and implement Event Hubs and data collection.

Find out what you need to make the most of these technologies for data science applications.

Welcome to Azure Data Analytics for Developers, an exciting new course from Wintellect and Microsoft. Join experts

How this course will help you

Christopher Harrison and Jeff Prosise in this 2.5 hour video to learn about how you can use Azure Machine Learning and Azure Stream Analytics to build intelligent apps.

You’ll get a quick overview of the technologies, see real-world implementation examples, and learn everything you need to start creating sophisticated data science applications today!

In this course, Azure Data Analytics for Developers, you’ll learn how to use Microsoft’s data science technologies of Azure Machine Learning and Azure Stream Analytics.

Having built models in R, you will learn how to create a web app to deliver them.

You will see examples of real applications that use these technologies from a developer standpoint.

How this course will help you

Join this course to learn what Azure Data Analytics for

Developers is, how it works, and how you can use it in your own applications.

The course starts by introducing the two main technologies available for data science on

Microsoft Azure: Azure Machine Learning and Azure Stream Analytics.

You’ll then get a chance to build a simple application using both of them,

starting with a prebuilt model that provides weather forecasts.

By the end of the lesson,you’ll have learned how to create and publish your own models,

as well as build an app that uses those models to provide real-time weather updates.

With the recent release of Azure Data Analytics for Developers, Microsoft has included several powerful new tools for data science.