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Case Study: Analyzing Customer Churn in Tableau

BasicSkill Level
4.8+
862 reviews
Updated 06/2024
You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.
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TableauData Visualization3 hr4 videos25 Exercises2,200 XP23,616Statement of Accomplishment

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Course Description

Are you ready to apply your Tableau skills to a real-world dataset?

Apply your Tableau skills with a Case Study

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

Understand why customers churn

Analyzing churn doesn’t just mean knowing what the churn rate is: 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 fields and various visualizations in Tableau, such as dual-axis graphs and scatter plots. You'll make your graphs dynamic by using filters and parameters, and combine everything into a story to share your insights.

Prerequisites

Introduction to TableauAnalyzing Data in TableauCreating Dashboards in Tableau
1

Exploratory analysis

In this first chapter, you'll start exploring the new dataset and revisit creating calculated fields in Tableau to get a better understanding of why customers are churning.
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2

Investigating churn patterns

You'll continue by leveraging the Tableau knowledge you gained from the prerequisite courses to further investigate why customers are leaving Databel.
Start Chapter
3

Visualizing your analysis

Case Study: Analyzing Customer Churn in Tableau
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*4.8
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FAQs

What Tableau skills should I have before starting this case study?

You need to have completed Introduction to Tableau, Analyzing Data in Tableau, and Creating Dashboards in Tableau as prerequisites.

What company and industry is the case study based on?

You will analyze churn rates for Databel, an example telecom company, investigating why customers leave and how to reduce churn.

What types of Tableau visualizations will I create?

You will build calculated fields, dual-axis graphs, scatter plots, interactive dashboards with filters and parameters, and combine everything into a Tableau story.

Does this course go beyond just calculating churn rate?

Yes. You will investigate the reasons behind churn, identify patterns in customer behavior, and create interactive dashboards to share actionable insights with stakeholders.

How long should I expect this case study to take?

It has 3 chapters and 26 exercises. The median completion time is about 3 hours, though it can take longer depending on your Tableau familiarity.

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