Wrap-up

Case Study: Analyzing Customer Churn in Tableau

Carl Rosseel

Curriculum Manager

Data analysis flow

Tableau Public

• Free
• Limitations
  • Only CSV, Excel and text files
  • Save online
  • 15 millions rows of data
  • Public reports
• Allows you to save your work

A Tableau Public account is required

• You can't publish without an account
• You can create an account on https://public.tableau.com/
  • Click the sign up button and complete the details:

Saving your work

Internet access is blocked

Your file will be published

Optional future work: predicting churn

• Course on churn prediction: Marketing analytics: predicting customer churn in Python
• Intermediate python knowledge required

• You'll learn how to build and validate your prediction using model metrics

Tableau is a playground

• You analyzed a new dataset from scratch:
  • Various visualizations: Dual Axis graphs, scatter plots, maps, ...
  • Calculated fields: COUNTD(), IF THEN ELSE, ..
  • Bins and bin sizes
• You leveraged the power of interactivity through:
  • Filters
  • Visualizations as filters
  • Parameters

Congratulations!

Case Study: Analyzing Customer Churn in Tableau