Analysis
Predict Customer Churn for a Telecom Company
Overview
What this challenge is about.
You are a business analyst at ConnectTel. Using the provided dataset, conduct exploratory data analysis to understand churn patterns. Then, build a logistic regression model to predict churn, using appropriate variable selection. Evaluate the model using accuracy, precision, recall, and ROC-AUC. Identify the top three factors driving churn and recommend a retention strategy targeting high-risk customers. Deliver a 3-page report including model results and a one-page executive summary. Success is a well-performing model with clear business recommendations.
The Brief
What you'll do, and what you'll demonstrate.
Build a logistic regression model to predict customer churn and identify key drivers to inform retention strategies.
Earning criteria — what you'll demonstrate
- Perform logistic regression for binary classification
- Interpret odds ratios and coefficients
- Evaluate model performance using appropriate metrics
- Translate statistical findings into business recommendations
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
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Roles this prepares you for.
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