| Category | Assignment | Subject | Programming |
|---|---|---|---|
| University | BPP Business School | Module Title | Programming For Data Analysts Summative-Answer |
| Assessment Title | CW1 |
| Word Count: | 2,500 words |
This report dives into Zappy Financial Services' loan data to figure out how they can improve their loan approval process. With a recent surge in loan applications due to a digital marketing push, ZFS must streamline its data handling and decision-making. We looked at factors like gender, marital status, education, and credit history to see how they impact loan approvals.
Our findings show that credit history is a major player in whether someone gets approved for a loan. Interestingly, we also noticed that men and married individuals tend to have higher approval rates. This raises questions about fairness in the approval process, suggesting that ZFS should ensure everyone is evaluated equally.
Introduction
Data Overview
Methodology
Discussion
Recommendations
Conclusions
References
Appendix
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