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Designing and Implementing a Data Science Solution on Azure (DP-100)

 

Resumen del Curso

DP-100 is an outstanding data science course that our students have found of great value.

It is important to reinforce however that this course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.

Before attending this course, students MUST have:

  • Deep experience in training, building, and evaluating machine learning models
  • A solid command of Python and its data science libraries including: pandas, scikit-learn, matplotlib, and seaborn.
  • Experience with statistical learning concepts such as: regression, correlation, normalization, feature importance, and AUC - ROC
  • Azure Fundamentals

Quién debería asistir

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

Prerrequisitos

Before attending this course, students must have:

  • Azure Fundamentals
  • 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.

Contenido del curso

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.

Entrenamiento en línea

Duración 3 días

Classroom training

Duración 3 días

 
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