DataHour: Advanced Exploratory Data Analysis on Credit Data
DataHour: Advanced Exploratory Data Analysis on Credit Data
17 Jan 202315:01pm - 17 Jan 202316:01pm
DataHour: Advanced Exploratory Data Analysis on Credit Data
About the Event
A credit application problem refers to the process of evaluating the creditworthiness of a borrower, typically with the goal of determining whether to approve a loan or credit application.
In this context, Exploratory Data Analysis (EDA) can be used to gain insights and uncover patterns in the data that can help inform the decision-making process.
EDA can be used to analyze various types of data, such as information about the borrower's credit history (from the previous application), income, employment, and debts. This analysis can help identify trends, outliers, and other factors that may be indicative of the borrower's creditworthiness.
For example, a borrower with a long history of timely payments and a low debt-to-income ratio may be considered more creditworthy than one with a shorter credit history and higher debt-to-income ratio. In addition to looking at individual factors, EDA can also be used to examine the relationships between different variables. This can help identify patterns or combinations of factors that are particularly indicative of creditworthiness.
For example, a high income combined with a long credit history and low debt-to-income ratio may be a strong indication of creditworthiness, while a low income and short credit history may be a weaker indication.
Overall, EDA can be a valuable tool in the credit application process, as it can help identify patterns and relationships in the data that may not be immediately obvious and can provide insights that can inform the decision-making process.
In this DataHour, Munmun will explain how to perform advanced exploratory data analysis for credit and loan data and derive meaningful conclusions from it.
Prerequisites: Basic understanding of Power BI and enthusiasm of learning Data Science.
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- Best articles get published on Analytics Vidhya’s Blog Space
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Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
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