Overview
Context
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.
In this Case Study - Analyzing Customer Churn in Tableau course offered by Data Camp, 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.
What you will do during this course:
- You'll start exploring the new dataset and revisit creating calculated fields in Tableau to get a better understanding of why customers are churning.
- You'll continue by leveraging the Tableau knowledge you gained from the prerequisite courses to further investigate why customers are leaving Databel.
- You'll create Tableau interactive dashboards and arrange them into stories, so that you can share your results with stakeholders.
Programme Structure
Chapters include:
- Exploratory analysis
- Investigating churn patterns
- Visualizing your analysis
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Data Science & Big Data View 466 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prerequisites
- Introduction to Tableau
- Analyzing Data in Tableau
- Creating Dashboards in Tableau
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions