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