Bank-Customer-Churn

My project is EDA for Bank data using Python and Powerbi

Bank Customer Churn Analysis This analysis examines customer account information for 10,000 clients of a European bank, focusing on attributes such as credit score, balance, product usage, and churn status. The goal is to identify patterns in customer churn and explore key insights related to account behavior. Specifically, this study aims to answer the following questions:

What attributes are more common among churners compared to nonchurners? Can customer churn be predicted based on the available data?

What are the overall demographic characteristics of the bank’s customers?

How do German, French, and Spanish customers differ in terms of account behavior? By addressing these questions, the analysis seeks to provide data-driven insights that can help improve customer retention strategies.