Overview
Who this competition fits
Learners with some ML coursework who want a structured DataCamp-style project sprint.
Read the original official blurb
You work for an international HR consultancy helping companies attract and retain top talent in the competitive tech industry. As part of your services, you provide clients with insights into industry salary trends to ensure they remain competitive in hiring and compensation practices. Your team wants to use a data-driven approach to analyse how various factors—such as job role, experience level, remote work, and company size—impact salaries globally. By understanding these trends, you can advise clients on offering competitive packages to attract the best talent. In this competition, you’ll explore and visualise salary data from thousands of employees worldwide. If you're tackling the advanced level, you'll go a step further — building predictive models to uncover key salary drivers and providing insights on how to enhance future data collection. In this first level, you’ll explore and summarise the dataset to understand its structure and key statistics. If you want to push yourself further, check out level two! Create a report that answers the following: 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
- Feb 15, 2025