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Case Study: Analyzing Customer Churn in Excel

You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.

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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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In the following Tracks

Excel Fundamentals

Go To Track
  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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    Zooming out
    50 xp
    Analyzing demographics
    100 xp
    Age groups
    100 xp
    Unlimited plan
    100 xp
    International calls
    100 xp
    Retaining senior citizens
    50 xp
    Contract type
    100 xp
  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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    Creating a cohesive story
    50 xp
    Dashboarding best practices
    50 xp
    Overview - Adding KPIs
    100 xp
    Overview - Adding churn reasons
    100 xp
    Overview - Adding demographics
    100 xp
    Overview - Adding consumption
    100 xp
    Wrap-up
    50 xp
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

In the following Tracks

Excel Fundamentals

Go To Track

Datasets

Metadata SheetExercises and Datasets

Collaborators

Collaborator's avatar
Joanne Xiong

Prerequisites

Introduction to Excel
Jess Ahmet HeadshotJess Ahmet

Content Developer at DataCamp

Jess is a Content Developer at DataCamp. Prior to joining DataCamp, she worked in various analyst roles within healthcare and most recently online gambling. She has a passion for education, data, and business which she has been able to combine in her role at DataCamp. Outside of work, you can often find her in front of a TV watching Soccer and Formula 1.
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