Coursera Project Network
Analyze Data in Azure ML Studio
Coursera Project Network

Analyze Data in Azure ML Studio

Laura Ramov

Instructor: Laura Ramov

Included with Coursera Plus

Guided Project
Learn, practice, and apply job-ready skills with expert guidance
Beginner level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning
Guided Project
Learn, practice, and apply job-ready skills with expert guidance
Beginner level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning

What you'll learn

  • Display descriptive statistics of a dataset

  • Measure relationships between variables

  • Visualize relationships between variables

Details to know

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Taught in English
No downloads or installation required

Only available on desktop

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Calculate descriptive statistics in Azure ML Studio and Python

  2. Use correlation to see how variables affect one another

  3. Use Azure ML model explainers to see how variables affect one another

  4. Practice activity - Demonstrate your understanding of Data Analysis within Azure

  5. Visualize categorical data

  6. Visualize relationships between variables

  7. Capstone challenge - Visualize the Relationship Between Diabetes and Plasma Glucose Variables

Recommended experience

Basic Python knowledge

Machine learning knowledge/experience

7 project images

Instructor

Laura Ramov
Coursera Project Network
2 Courses637 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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