• Online, Self-Paced
Course Description

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.

Learning Objectives

{"discover the key concepts covered in this course"}

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Network Services