Course: Perform Cloud Data Science with Azure Machine Learning (exam 70-774)

$429.00
$519.09 incl. vat
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duration: 23 hours |

Language: English (US) |

access duration: 180 days |

In Onbeperkt Leren

Details

In this online Microsoft Azure course you will learn to analyze data using Azure Machine Learning and big data tools: HDInsight and R Services.

You will learn how Azure Machine Learning works and how you can create projects, workspaces and experiments. You will also learn how to implement models into your Azure Machine Learning Studio and use APIs.

Next learn how to import and export data in Azure Machine Learning Studio, how to create summaries and how to use custom visualizations.

Furthermore, you will get started with cleaning up your data in Azure Machine Learning Studio by using filters, SQL transformations and features that recognize missing or duplicate data.

Other topics covered are algorithms, rows, columns, neural networks, Azure AI Gallery, Microsoft Cognitive Toolkit, VM and HDInsights and far more.

Result

You are able to analyze and present data using Azure Machine Learning, and you can use big data tools such as HDInsight and R Services.

You are also fully prepared for the Microsoft 70-774 exam.

Prerequisites

You have programming with R experience , knowledge about most used statistical methods and knowledge of relational databases.

Target audience

Business Analyst, Database Administrators, Data analist

Content

Perform Cloud Data Science with Azure Machine Learning (exam 70-774)

23 hours

Cloud Data Science: Introduction to Azure Machine Learning

Explore Azure Machine Learning and

Cloud Data Science: Deploying Models with Azure Machine Learning Studio

Discover how to deploy models in

Cloud Data Science: Consume Models and APIs Using Azure Machine Learning Studio

Discover how to consume models and

Cloud Data Science: Importing and Exporting in Azure Machine Learning Studio

Explore different methods of import

Cloud Data Science: Summarize Data with Azure Machine Learning Studio

Discover to import external

Cloud Data Science: Data Cleanup with Azure Machine Learning Studio

Discover how to clean up your data

Cloud Data Science: Transforming Data in Azure Machine Learning Studio

Examine features. rows, columns, and

Cloud Data Science: Using Algorithms in Azure Machine Learning Studio

Explore the different types of Algorithms used in Azure Machine Learning Studio.

Cloud Data Science: Optimize and Validate Models in Azure Machine Learning Studio

Discover how to optimize and

Cloud Data Science: Microsoft Cognitive Toolkit and Azure Machine Learning

Discover how to build neural

Cloud Data Science: Azure AI Gallery and Azure Machine Learning

Learn how to use existing resources

Cloud Data Science: Virtual Machines & HDInsight

Discover how to use a data science

Cloud Data Science: SQL Server & Azure Machine Learning

Discover how to use SQL Server VMs

Course options

We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.

Optional practice exam (trial exam)

To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam. 

Optional practice lab

To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediatelyThe lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience. 

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