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DataCampTabularBeginnerRegistration unverified

Analyzing Churn Rate in Excel

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
Are you ready to apply your Excel skills? For subscription-based businesses, reducing customer churn is a top priority. In this Excel competition, you'll investigate a dataset from telecom company Databel and analyze their churn rates. Using Excel, analyze the data and create visuals to answer the following questions: Scoring notes: This competition will not be judged. Use this opportunity to apply your Excel skills, and compare your work with your peers after the competition ends!

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
Sep 30, 2024

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
Sep 30, 2024
Source created
Sep 30, 2024
Published on this site
Jul 18, 2026