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Optimizing Online Sports Retail 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

<p>Sports clothing is a booming sector!</p> <p>In this notebook, you will use your Python skills to analyze product data for an online sports retail company.</p> <p>You will work with a variety of data types to answer their questions about revenue, ratings, reviews, and product descriptions.</p> <p>You will use techniques such as string methods, aggregation, cleaning, and labeling to answer key questions that will inform how the company can optimize their revenue!</p>

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 ManipulationImporting & Cleaning DataCase Studies
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George Boorman

Analytics and Data Science Curriculum Manager, DataCamp

George is an Analytics and Data Science 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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