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Case Study: Analyzing Customer Churn in Power BI

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

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3 Hours4 Videos25 Exercises2150 XPData Analyst Track

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Course Description

Are you ready to apply your Power BI skills to a real-world dataset? For subscription-based businesses, reducing customer churn is a top priority. In this Power BI case study, you'll investigate a dataset from an example telecom company called Databel and analyze their churn rates. 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 measures and calculated columns, while simultaneously creating eye-catching report pages.

  1. 1

    Exploratory Analysis


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

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    Analyzing customer churn in Power BI
    50 xp
    Analysis process
    100 xp
    Data check time
    100 xp
    Understanding churn
    50 xp
    Calculating churn
    100 xp
    Investigating churn reasons
    100 xp
    Digging deeper into churn categories
    100 xp
    Use maps to your advantage
    100 xp
  2. 2

    Investigating Churn Patterns

    You'll continue by leveraging the Power BI knowledge you gained from the prerequisite courses to further investigate why customers are leaving Databel.

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  3. 3

    Visualizing your Analysis

    In the last chapter, you'll create dashboard-style pages and arrange them into stories, so that you can share your results with stakeholders.

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In the following tracks

Data Analyst


carlrosseel-73112126-9ed2-4866-942a-96fbf265b088Carl Rosseelazatsaskal-cf1264fd-28cb-4a0c-8a62-515084dd5901Azat Saskal
Iason Prassides Headshot

Iason Prassides

Content Developer at DataCamp

Iason holds a Master’s degree in Chemistry from UCL and is now a Content Developer at DataCamp. Prior to working at DataCamp, Iason held a number of analytics roles within a range of industries across different countries. Having a passion for education, data, and storytelling, he has found a great place at DataCamp to develop engaging content for learning. As an avid sports fan, he has a keen interest in sports statistics.
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