This course looks at what is churn and how to identify which customers are likely to leave you. It also looks at the factors that are likely related to churn and how to reduce churn.
The course concludes with the benefits of churn and goes into detail on how to predict which customers are likely to churn using a Logistic Regression Model. We end the course with methods on evaluating churn models for their business effectiveness and accuracy.
What am I going to get from this course?
At the end of this course students will understand:
- What is Churn
- The overall benefits of Churn
- Which factors are likely related to Churn
- How to reduce Churn
- How to prevent Customers from leaving them
- How to calculate Churn
- How to evaluate Churn Models for their business effectiveness and accuracy
Prerequisites and Target Audience
What will students need to know or do before starting this course?
There are no pre-requisites for this course. This course is an introductory course. It is for students of all levels.
Who should take this course? Who should not?
This course is an introductory course. It is for all students who work in the Retail, Financial or Telecommunications Industries who are interested in learning more on how to prevent customers from leaving their business.
This course is also for data analysts, data scientists and data modellers who would like to understand what is churn, what are the benefits of churn for the business, how to run Logistic Regression Models and how to evaluate the business effectiveness and accuracy of churn models.