Overview
Who this competition fits
Beginners who want a low-friction first competition on a learning platform with DataLab notebooks.
Read the original official blurb
You are helping a client who owns coffee shops in Colorado. The company's coffee shops serve high-quality and responsibly sourced coffee, pastries, and sandwiches. They operate three locations in Fort Collins and want to expand into Denver. Your client believes that the ideal location for a new store is close to affluent households, and the store appeals to the 20-35 year old demographic. Your team collected geographical and demographic information about Denver's neighborhoods to assist the search. They also collected data for Starbucks shops in Denver. Starbucks and the new coffee shops do not compete for the same clients; the team included their location as a reference. Provide your client a list of neighborhoods in Denver where they should consider expanding. Include: Scoring notes: This is a community-based competition. The top 5 most upvoted entries will win.
Preparation
From registration to a first submission
- 01
Python or R basics
- 02
DataCamp / DataLab workflow
- 03
pandas or tidyverse
Before you commit: Even learning competitions can stall if you have never turned analysis into a clean submission notebook.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- DataCamp
- Last checked
- Jul 13, 2022