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Case Study: Analyzing Customer Churn in Excel

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1 hr
1,750 XP
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Course Description

Are you ready to apply your Excel skills to a fictitious dataset?

Apply your Excel Skills with a Case Study

For subscription-based businesses, reducing customer churn is a top priority. In this Excel case study, you'll investigate a dataset from an example telecom company, Databel, and analyze their churn rates.

Understand why customers churn

Analyzing churn doesn’t just mean knowing the churn rate: it’s also about figuring out why customers are churning at the rate they are and how to reduce churn. You'll answer these questions by creating calculated columns and fields, building PivotTables, and creating an eye-catching dashboard.
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  1. 1

    Exploratory analysis

    Free

    In this first chapter, you’ll start by exploring your new dataset in Excel and gain an initial understanding of why customers are churning.

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    Analyzing customer churn in Excel
    50 xp
    Analysis process
    100 xp
    Data preparation
    100 xp
    Understanding churn and it's applications
    50 xp
    Calculating churn
    100 xp
    Investigating churn reasons
    100 xp
    Digging deeper into churn categories
    100 xp
  2. 2

    Investigating churn patterns

    You’ll continue leveraging the Excel knowledge you gained from the prerequisite courses to investigate further why customers are leaving Databel.

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  3. 3

    Creating a cohesive story

    In the last chapter, you’ll create a dashboard-style sheet and arrange your visuals to present your results to stakeholders in a cohesive story.

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For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.

datasets

Metadata SheetExercises and Datasets

collaborators

Collaborator's avatar
Joanne Xiong
Jess Ahmet HeadshotJess Ahmet

Senior Data Analyst

Jess is an ex-Curriculum Manager at DataCamp, who’s transitioned back to a Senior Data Analyst and Educator who loves bringing data and education together. She enjoys tackling real-world problems with analytical insights, always keeping an eye on the bigger picture. When she’s not knee-deep in data, Jess is spending time with her family and following her favourite Formula 1 team.
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