Skip to main content
HomePythonAnalyzing Online Sports Revenue

project

Analyzing Online Sports Revenue

Intermediate
Updated 04/2024
Analyze product data for an online sports retail company to optimize revenue.
Start Project for Free
Included withPremium or Teams
1 Task1,500 XP3,009

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
Group

Training 2 or more people?

Try DataCamp For Business

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.
See More

FAQs

What do other learners have to say?