Azure Data Science Solution (DP-100)

3235 Ratings (4.2)

This learning path is designed to help you prepare for Microsoft's DP-100 Designing and Implementing a Data Science Solution on Azure exam. Even if you don't plan to take the exam, these courses and hands-on labs will help you learn how to use Azure's machine learning solutions.

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About the course

This learning path is designed to help you prepare for Microsoft's DP-100 Designing and Implementing a Data Science Solution on Azure exam. Even if you don't plan to take the exam, these courses and hands-on labs will help you learn how to use Azure's machine learning solutions.

Candidates who pass the DP-100 exam will earn the Microsoft Certified: Azure Data Scientist Associate certification.

Course Contents

Create an Azure Machine Learning workspace
  • create an Azure Machine Learning workspace
  • configure workspace settings
Manage data objects in an Azure Machine Learning workspace
  • register and maintain data stores
  • create and manage datasets
Manage experiment compute contexts
  • create a compute instance
  • determine appropriate compute specifications for
  • dcreate compute targets for experiments and training
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Course Prerequisites

  • Basic experience using Microsoft Azure

Who should attend?

The Azure Data Scientist applies their knowledge of data science and machine learning to implementing and running machine learning workloads on Azure; in particular, using Azure Machine Learning Service. This entails planning and creating a suitable working environment for data science workloads on Azure, running data experiments and training predictive models, managing and optimizing models, and deploying machine learning models into production.

Number of Hours: 30hrs

Certification

DP-100

Keyfeatures

  • One to One Training
  • Online Training
  • Fastrack & Normal Track
  • Resume Modification
  • Mock Interviews
  • Video Tutorials
  • Materials
  • Real Time Projects
  • Virtual Live Experience
  • Preparing for Certification

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