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Analyze Data in Azure ML Studio

Did you know that you can use Azure Machine Learning to help you analyze data? In this 1-hour project-based course, you will learn how to display descriptive...

By Laura Ramov on Coursera

About This Course

Did you know that you can use Azure Machine Learning to help you analyze data? In this 1-hour project-based course, you will learn how to display descriptive statistics of a dataset, measure relationships between variables and visualize relationships between variables. To achieve this, we will use one example diabetes data. We will calculate its descriptive statistics and correlations, train a machine learning model and calculate its feature importance to see how features affect the label and visualize categorical data, as well as relationships between variables, in Jupyter notebook. In order to be successful in this project, you will need knowledge of Python language and experience with machine learning in Python. Also, Azure subscription is required (free trial is an option for those who don’t have it), as well as Azure Machine Learning resource and a compute instance within. Instructional links will be provided to guide you through creation, if needed, in the first task. If you are ready to learn how to analyze data, this is a course for you! Let’s get started!

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Frequently Asked Questions

How much does Analyze Data in Azure ML Studio cost?

Visit the Analyze Data in Azure ML Studio course page for current pricing and available discounts.

Who teaches Analyze Data in Azure ML Studio?

Analyze Data in Azure ML Studio is taught by Laura Ramov, Coursera.

What skill level is Analyze Data in Azure ML Studio for?

This course is designed for all levels learners.

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Students0
Duration2 hours
LevelAll Levels
Languageen
PlatformCoursera
InstructorLaura Ramov