IT Professional Certifications     Microsoft     Microsoft Certified: Azure Data Scientist Associate     DP-100: Designing and Implementing a Data Science Solution on Azure

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Data scientists spend a majority of their time exploring and analyzing data, which may become the foundation for a machine learning model. The Azure Machine Learning Studio provides Jupyter Notebooks that can be used to perform data analysis.
In this course, you'll learn about project Jupyter and how it is used for by data scientists to perform data analysis. You'll explore how to create a compute instance in Azure Machine Learning Studio and clone a sample training repository. Next, you'll learn how to use a Jupyter Notebook to perform basic data analysis and , create a regression model, classification model, and clustering model. Finally, you'll examine how to use Jupyter Notebook to perform deep learning using PyTorch and perform deep learning using TensorFlow.
This course is one in a collection that prepares learners for the Designing and Implementing a Data Science Solution on Azure (DP-100) exam.

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Objectives

DP-100 - Azure Data Scientist Associate: Project Jupyter & Notebooks discover the key concepts covered in this course describe project Jupyter and how it is used for machine learning describe Jupyter Notebooks and how they are used by data scientists to perform data analysis create a compute instance in Azure Machine Learning Studio and clone the ml-basics repository use a Jupyter Notebook to perform basic data analysis use a Jupyter Notebook to create a regression model use a Jupyter Notebook to create a classification model use a Jupyter Notebook to create a clustering model use a Jupyter Notebook to perform deep learning using PyTorch use a Jupyter Notebook to perform deep learning using TensorFlow summarize the key concepts covered in this course