Banking Analysis using Tableau

Complete Data Analytics Project

Last updated 07/2023
Project files
1 Lectures
English

Created by Dr. Satyajit Pattnaik, Analytics

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Description

This project is about understanding Risk Analytics in banking and financial services and understanding how data is used to minimize the risk of losing money while lending to customers. We have to identify whether it would be alright or not to approve the loan. When the company receives a loan application, the company has to make a decision for loan approval based on the applicant's profile. So strong analysis is needed to be done on this to minimize the risk.

Two types of risk are associated with the bank's decision

  • If the applicant is likely to repay the loan, then not approving the loan results in a loss of business to the company If the applicant is not likely to repay the loan, that is he/she is likely to default, then approving the loan may lead to financial loss for the company
  • if the applicant is not likely to repay the loan, that is he/she is likely to default, then approving the loan may lead to financial loss for the company

Things you will learn:

  • Business Problem We are Trying to Solve
  • Constraints
  • Scope
  • Objectives
  • Data Preparation
  • Dashboard Creation
Course Content
1 sections • 1 lectures
This course includes:
  • Project files
  • Full Lifetime Access
  • Access on mobile and TV
  • Assignments
  • Certificate of completion
Instructor
Dr. Satyajit Pattnaik Lead Data Consultant, PALO IT
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