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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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.- 1
Exploratory Analysis
FreeIn 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.
- 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.
- 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.
Collaborators


Iason Prassides
See MoreContent Developer at DataCamp
Iason holds a Master’s degree in Chemistry from UCL and is now a Content Developer at DataCamp. He is also a certified Power BI data analyst. 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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