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Case Study: Analyzing Customer Churn in Power BI

Basic3 hr

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

Python3 hr4 videos25 Exercises2,150 XP91,432Statement of accomplishment

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Course Description

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

Apply your Power BI skills with a Case Study

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.

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 measures and calculated columns while simultaneously creating eye-catching report pages.

Prerequisites

Curriculum

Course outline

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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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

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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Case Study: Analyzing Customer Churn in Power BI

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