The final project for this class had my group explore a dataset using survival analysis.
We decided to use the Telco Customer Churn dataset, which is a fictional dataset created by IBM to simulate customer data for a telecommunications company. This dataset was designed to help predict customer churn, referring to customers who stop using the company’s services, with the goal of analyzing customer behavior and developing strategies to retain customers.
Our report is split into three sections: parametric survival analysis, non-parametric survival analysis, and cox regression. The parametric analysis was done in JMP, while the latter two approaches were done in R.