Credit card churn ETL & analysis project using Python & Power BI
Credit card churn ETL & analysis project using Python & Power BI
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Credit Churn Analysis Project is an initial data analysis project designed to utilise data exploration, analysis, and visualisation in order to understand churn drivers, dimensional trends and key areas of challenge and opportunity in order to enhance future retention. The dataset used for this project comprises of a credit card churn dataset comprising of a single CSV file taken from Kaggle which contained historical churn data for a major credit provider. Our dataset consisted of 10,127 customers and contains information on their age, gender, salary, dependent count, education level, marital_status, income category, credit card limit, credit card category, etc.
See link to the original dataset provided by S Goyal at Kaggle: Visit Kaggle for more details on datasets
A description of the images you are showcasing for your project, your process, and the artifacts you created along the way
A description of the images you are showcasing for your project, your process, and the artifacts you created along the way
Describe what role you played on your team. Who did you have to work with to achieve your goal? What was the outcome of the project?
Describe what role you played on your team. Who did you have to work with to achieve your goal? What was the outcome of the project?
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