Case Study: Analyzing Customer Churn in Tableau

Description

Carl Rosseel

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

Read more.

Career Relevance by Data Role

The techniques and tools covered in Case Study: Analyzing Customer Churn in Tableau are most similar to the requirements found in Business Analyst job advertisements.


Similarity Scores (Out of 100)

Subscribe for updates and new courses
Or create a DataKwery.com account
Fast Facts

Tools
Tableau

Techniques
Customer AnalyticsDashboardsData AnalysisData SetsData VisualizationExploratory Data Analysis

Similar Opportunities
Data Visualization with Tableau Project

Coursera - University of California, Davis

Creating Dashboards and Storytelling with Tableau

Coursera - University of California, Davis

Data Representation and Visualization in Tableau

edX - Rochester Institute of Technology