Loan Default Prediction Dashboard — Tableau Case Study

1. Project Overview

Purpose:

Predict and explain loan defaults so lenders can reduce losses and improve screening.

Business Questions:

1. What is the default rate in this portfolio?
2. Which customer traits are linked to higher default risk?
3. Which loan terms are most associated with default?
4. What is the value at risk?

Deliverables:

• Public Tableau dashboard
• Documentation of assumptions and steps
• Business recommendations

2. Dataset Summary

Source: Coursera Loan Default Prediction Challenge

Rows: 255,347

Columns: 18

Target Variable: Loan default status (Default vs Non-Default)