In this project-based course, you will learn how to use the Python programming language and Pandas as a data analyst. A data analyst analyzes and visualizes data, as well as communicates the findings and insights effectively across an organization. In many cases, these findings are meant to answer a business question.

Data Analysis with Python: Inform a Business Decision

Recommended experience
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
Skills you'll practice
Details to know

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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

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:
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Import Airbnb data from the New York City CSV
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Remove columns and rows that are not needed for our purpose
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Remove rows that don't meet the parameters of our business question
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Remove rows with empty data and compare the number of entries
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Sort the results to prepare potential hosts to promote
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Separate hosts by borough and rank by price
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Comparing data from two neighborhoods
Recommended experience
Prior experience with Python programming and knowledge of Pandas library is helpful, but not needed.
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Instructor

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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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