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Data Analysis with Python: Inform a Business Decision

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Data Analysis with Python: Inform a Business Decision

Randal L. Carr

Instructor: Randal L. Carr

Included with Coursera Plus

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

Recommended experience

1 hour
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
Beginner level

Recommended experience

1 hour
Learn at your own pace
Hands-on learning

What you'll learn

  • Import data using the Pandas library for Python

  • Clean data using Pandas methods and Python scripts

  • Analyze and save a data set that answers a business question

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. Import Airbnb data from the New York City CSV

  2. Remove columns and rows that are not needed for our purpose

  3. Remove rows that don't meet the parameters of our business question

  4. Remove rows with empty data and compare the number of entries

  5. Sort the results to prepare potential hosts to promote

  6. Separate hosts by borough and rank by price

  7. Comparing data from two neighborhoods

Recommended experience

Prior experience with Python programming and knowledge of Pandas library is helpful, but not needed.

7 project images

Instructor

Randal L. Carr
Coursera Project Network
2 Courses3,054 learners

Offered by

W3Schools

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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