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Analyzing Online Sports Revenue

Analyze product data for an online sports retail company to optimize revenue.

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1 Tasks1,500 XP

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Project Description

Sports clothing is a booming sector!

In this project you will use your Python skills to analyze product data for an online sports retail company.

You will work with a variety of data types to answer their questions about revenue, ratings, and product descriptions.

You will use techniques such as aggregation, cleaning, and labeling to answer key questions that will inform how the company can optimize their revenue!

Project Tasks

  1. 1
    Use your data manipulation and analysis skills to answer key questions about an online sports retail dataset!

Technologies

Python Python

Topics

Data Manipulation
George Boorman HeadshotGeorge Boorman

Curriculum Manager, DataCamp

George is a Curriculum Manager at DataCamp. He holds a PGDip in Exercise for Health and BSc (Hons) in Sports Science and has experience in project management across public health, applied research, and not-for-profit sectors. George is passionate about sports, tech for good, and all things data science.
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