Introduction to Customer Churn Analysis
Apply acquired PySpark concepts to perform customer churn analysis and prediction.
We'll cover the following...
Introduction
Welcome to this coding exercise focused on “Customer churn analysis” using PySpark. In this exercise, we’ll explore a fictional telecommunication company called “Telco” and analyze phone service data to identify potential predictors of churn. Customer churn, i.e., the loss of customers, poses a significant challenge for companies in the telecommunication industry.
Problem statement
As a data scientist at Telco, our objective is to leverage PySpark and its DataFrame capabilities to predict and prevent customer churn. By preprocessing and transforming the available data, we’ll uncover insights and build predictive models to identify customers at risk of churn. The ultimate goal is to develop effective marketing and retention strategies tailored to individual customers, thereby reducing churn rates and maximizing customer ...