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Implementing the Data Science Workflow in Microsoft Azure

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Microsoft Azure contains a massive offering of services that can be used together to implement the data science workflow. This path walks you through this workflow, as it is implemented in Microsoft Azure.

What You'll Learn

  • Source, clean, and prepare data using Microsoft Azure
  • Implement feature selection using Microsoft Azure
  • Build models and evaluate their effectiveness in Microsoft Azure
  • Use Microsoft Azure services to deploy and manage your model
  • Communicate results to the business using the Microsoft Azure platform
  • OpenCourser is an affiliate partner of Pluralsight and may earn a commission when you buy through our links.

    From Pluralsight
    Hours 15
    Instructors Jared Rhodes, Neeraj Kumar, Xavier Morera, Saravanan Dhandapani, Tim Warner
    Language English
    Subjects IT & Networking

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    .Net with Azure $55k

    Microsoft Azure $58k

    Cloud Engineer - Azure $65k

    Azure Development Engineer $68k

    Azure Engineer $69k

    Cloud Engineer (Azure) $78k

    Azure Web Architect $85k

    Azure Architect with Powershell $97k

    Microsoft Azure Cloud Architect $98k

    SDE in Microsoft $106k

    Microsoft Azure Architect $108k

    Azure Infrastructure Architect $109k

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    From Pluralsight
    Hours 15
    Instructors Jared Rhodes, Neeraj Kumar, Xavier Morera, Saravanan Dhandapani, Tim Warner
    Language English
    Subjects IT & Networking

    Careers

    An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

    .Net with Azure $55k

    Microsoft Azure $58k

    Cloud Engineer - Azure $65k

    Azure Development Engineer $68k

    Azure Engineer $69k

    Cloud Engineer (Azure) $78k

    Azure Web Architect $85k

    Azure Architect with Powershell $97k

    Microsoft Azure Cloud Architect $98k

    SDE in Microsoft $106k

    Microsoft Azure Architect $108k

    Azure Infrastructure Architect $109k

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