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Designing and Implementing a Data Science Solution

  • All levels
  • 16 and older
  • $2,495
  • Live Online Training
  • 32 hours over 4 sessions

Start Dates (0)

  • $2,495
  • Live Online Training
  • 32 hours over 4 sessions
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Class Description

Description

What you'll learn in this azure training:

Designing and Implementing a Data Science Solution on Azure (Data Scientist)

Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.

Who Should Take This Course?

  • This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.

What Are The Prerequisites

Required

  • Understanding of data science including how to prepare data, train models, and evaluate competing models to select the best one.
  • How to program in the Python programming language and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn.
  • AZ-900T01: Microsoft Azure Fundamentals (1 Day)

Course Objectives

  • Doing Data Science on Azure
  • Doing Data Science with Azure Machine Learning service
  • Automate Machine Learning with Azure Machine Learning service
  • Manage and Monitor Machine Learning Models with the Azure Machine Learning service

Course Outline

Doing Data Science on Azure

  • Introduce the Data Science Process
  • Overview of Azure Data Science Options
  • Introduce Azure Notebooks

Doing Data Science with Azure Machine Learning service

  • Introduce Azure Machine Learning (AML) service
  • Register and deploy ML models with AML service

Automate Machine Learning with Azure Machine Learning service

  • Automate Machine Learning Model Selection
  • Automate Hyperparameter Tuning with HyperDrive

Manage and Monitor Machine Learning Models with the Azure Machine Learning service

  • Manage and Monitor Machine Learning Models

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Refund Policy

A student who cancels within 7 days of signing the enrollment agreement but before instruction begins receives all monies returned with the exception of the non-refundable registration fee.

Thereafter, a student will be liable for:

  • The non-refundable registration fee of $100 plus
  • The cost of any textbooks or supplies accepted plus
  • Tuition liability as of the student's last date of physical attendance
If Termination Occurs

  • Prior to or during the first week - 0% Penalty
  • During the second week - 25% Penalty
  • During the third week - 50% Penalty
  • During the fourth week - 75% Penalty
  • After the fourth week - 100% Penalty

The failure of a student to notify CourseHorse in writing of withdrawal may delay a refund of tuition.

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NetCom Learning

NetCom Learning delivers top-quality training and certification solutions to businesses, individuals and government agencies.

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Since its inception in 1998, NetCom has trained over 95 percent of the Fortune 500, serviced over 23,000 business customers, and advanced the skills and careers of over...

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