Bank-Customer-Analysis

Introduction

Banks are constantly analysing data to understand their ideal customers
Customer personalty tests help banks to have a clear visual of who their customers are as well as their behaviors
This project will analyse a bank dataset to showcase their customers and whether they are likely to deposit with them.
The dataset has been provided by Kaggle, you can get it Here

Married people account for the highest number of cutomers while divorced people are the least.
The bank's highest customers have attained secondary education while the least have no education
Majority of the customers have neither housing loans nor personal loans
Non-bank defaulters make up the largest proportion of the bank's customers
The people in management are more likely to accept to deposit with the bank as compared to housemaids. Also, people in blue-collar jobs had the highest number of people refusing to deposit with the bank.
People with secondary education make up the largest group of loan non-defaulters.
Customers with tertiary education are more likely to deposit with the company as compared to those with secondary and primary education.
Majority of the bank's customers are between 30-40 years old while the oldest range between 60-95 years old.