Overview
Who this competition fits
Learners with some ML coursework who want a structured DataCamp-style project sprint.
Read the original official blurb
Does eating healthy depend on what’s in your wallet? While some believe nutritious food is a luxury reserved for those who can afford it, others argue that education, accessibility, and policy interventions play an even bigger role. As part of a public health research team, your mission is to uncover the real factors driving food choices. Are healthier foods truly more expensive, or do regional access, income distribution, and availability have a greater impact? Your insights could help shape smarter food policies, making healthy eating more affordable and accessible for all. Are you ready to dig into the data and make a real-world impact? Your public health research team has been asked to advise policymakers on the key factors influencing food choices across different income groups. Your tasks are to analyze: Scoring notes: This is a community-based competition. Once the competition concludes, you'll have the opportunity to view and vote for the best submissions of others as the voting begins. The top 5 most upvoted entries will win. The winners will receive DataCamp merchandise.
Preparation
From registration to a first submission
- 01
Python or R basics
- 02
DataCamp / DataLab workflow
- 03
pandas or tidyverse
Before you commit: Task framing and scoring details live in the notebook; weak validation still hurts rankings.
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
- Mar 26, 2025