Case Study: Analyzing Customer Churn in Tableau
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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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.Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In the following Tracks
Tableau Fundamentals
Go To Track- 1
Exploratory analysis
FreeIn 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.
- 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.
- 3
Visualizing your analysis
In the last chapter, you'll create Tableau interactive dashboards and arrange them into stories, so that you can share your results with stakeholders.
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In the following Tracks
Tableau Fundamentals
Go To Trackcollaborators
Carl RosseelHead of BI Curriculum at DataCamp
Carl is building Technology Alliances at DataCamp. Previously, he was the head of the BI Curriculum at DataCamp, where he focused on democratizing data skills through Business Intelligence tools. He holds a double master's degree in Business Engineering and worked in various analyst roles at an e-commerce company before joining DataCamp. He likes to use data to make the complex simple and tell data stories. Outside work, you can often find him enjoying a game of soccer, both on and off the pitch.
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