Course
Case Study: Analyzing Customer Churn in Tableau
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Loved by learners at thousands of companies
Training 2 or more people?
Try DataCamp for BusinessCourse Description
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.Prerequisites
Introduction to TableauAnalyzing Data in TableauCreating Dashboards in TableauExploratory analysis
Investigating churn patterns
Visualizing your analysis
Complete
Earn Statement of Accomplishment
Add this credential to your LinkedIn profile, resume, or CVShare it on social media and in your performance reviewEnroll Now
FAQs
What Tableau skills should I have before starting this case study?
You need to have completed Introduction to Tableau, Analyzing Data in Tableau, and Creating Dashboards in Tableau as prerequisites.
What company and industry is the case study based on?
You will analyze churn rates for Databel, an example telecom company, investigating why customers leave and how to reduce churn.
What types of Tableau visualizations will I create?
You will build calculated fields, dual-axis graphs, scatter plots, interactive dashboards with filters and parameters, and combine everything into a Tableau story.
Does this course go beyond just calculating churn rate?
Yes. You will investigate the reasons behind churn, identify patterns in customer behavior, and create interactive dashboards to share actionable insights with stakeholders.
How long should I expect this case study to take?
It has 3 chapters and 26 exercises. The median completion time is about 3 hours, though it can take longer depending on your Tableau familiarity.
Join over 19 million learners and start Case Study: Analyzing Customer Churn in Tableau today!
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Grow your data skills with DataCamp for Mobile
Make progress on the go with our mobile courses and daily 5-minute coding challenges.