Skip to content

The objective of this analysis is to provide the Czechoslovakia Bank with actionable insights that can help them make informed decisions about their financial operations. The analysis will involve data cleaning, exploratory data analysis, and predictive modelling to identify patterns and trends in the data.

License

Notifications You must be signed in to change notification settings

afzalshah29/Czechoslovakia-Bank-Financial-Data-Analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 

Repository files navigation

Czechoslovakia-Bank-Financial-Data-Analysis

The objective of this analysis is to provide the Czechoslovakia Bank with actionable insights that can help them make informed decisions about their financial operations. The analysis will involve data cleaning, exploratory data analysis, and predictive modelling to identify patterns and trends in the data.

End-To-End Data Analytics Project: Czechoslovakia Banking Financial Data Analysis

This project involves a comprehensive analysis of the financial data provided by the Czechoslovakia Bank, covering a period of 5 years. The dataset contains information about the bank's clients, their accounts, cards, loans, transactions, and orders. The objective of this project is to provide actionable insights to the bank, which can help them make informed decisions about their financial operations.

Introduction:

The Czechoslovakia Bank has provided a dataset containing information about its financial activities for the past 5 years. The dataset consists of 8 tables, namely Account, Card, Client, Disposition, District, Loan, Order, and Transaction. Each of these tables contains specific information related to the bank's operations.

Ad-hoc Data Analysis:

The analysis involves answering some of the important questions that the bank has identified. These questions include understanding the demographic profile of the bank's clients and how it varies across different districts, identifying the most common types of accounts and cards used by the clients, analyzing the bank's expenses and loan portfolio, and exploring ways to improve customer service and satisfaction levels. The analysis will involve data cleaning, exploratory data analysis, and predictive modeling to identify patterns and trends in the data.

Project Benefits:

This project is a must-have for individuals looking to showcase their data analytics skills in their resumes. It involves a real-world dataset and provides valuable insights into the financial operations of a bank. By completing this project, individuals will gain hands-on experience in data cleaning, exploratory data analysis, and predictive modeling techniques. The results of this analysis can be used by the Czechoslovakia Bank to improve their financial operations and introduce new financial products or services.

About

The objective of this analysis is to provide the Czechoslovakia Bank with actionable insights that can help them make informed decisions about their financial operations. The analysis will involve data cleaning, exploratory data analysis, and predictive modelling to identify patterns and trends in the data.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published