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  3. Can You Help Reduce Employee Turnover?
DataCampTabularBeginnerRegistration unverified

Can You Help Reduce Employee Turnover?

A beginner tabular competition requiring roughly 6–14 hours for an end-to-end practice run.

Difficulty
Beginner
Estimated effort
6–14 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

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 work for the human capital department of a large corporation. The Board is worried about the relatively high turnover, and your team must look into ways to reduce the number of employees leaving the company. The team needs to understand better the situation, which employees are more likely to leave, and why. Once it is clear what variables impact employee churn, you can present your findings along with your ideas on how to attack the problem. Create a report that covers the following: Scoring notes: [object Object],[object Object],[object Object],[object Object]

Preparation

From registration to a first submission

  1. 01

    Python or R basics

  2. 02

    DataCamp / DataLab workflow

  3. 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
Jan 8, 2022

Entry assessment

est.
88

Strong first competition

Overall fit estimate

Beginner fit88/100
Learning value86/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

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Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

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Source page verifiedMetric confirmedReviewed
Source published
Jan 8, 2022
Source created
Jan 8, 2022
Published on this site
Jul 18, 2026