- [Narrator] Have you ever heard the phrase,…'all data is credit data?'…That means things like Instagram geolocation data…that can be used to predict spending habits?…Or what about credit-worthiness by association,…where the loss of your credit card privileges…may be predicated on how other card owners…who frequent the same stores repay lenders.…And what these mean…is that every digitally-traceable action you make…influences your ability to acquire credit,…and that's where data science…becomes part of loans and credit.…
Now, this is something called…Automated Application Review for Loans and Credit.…And what is this?…Well, algorithms analyze a collection of data…that's provided by the borrower to determine…the amount of credit offered,…or the ability to secure a loan.…The algorithm determines, really,…how likely a borrower is to default on a loan, not pay it,…or a credit card.…Now, there are some important benefits…to the automated review of applications…for loans and credit.…
Number one is, they're really fast.…They can be real-time application reviews…
Updated
5/9/2018Released
10/27/2017- Examine how and why data science is applied to money.
- Interpret the benefits of algorithmic and human-in-the-loop trading.
- Evaluate how automated application reviews for loans and credit can change.
- Justify how social media can be beneficial to economics.
- Analyze the relationship between cryptocurrencies and data science.
- Interpret the ethical and technical challenges and possibilities of data science.
Skill Level Intermediate
Duration
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Q: This course was updated on 05/09/2018. What changed?
A: A: We added one video on data science careers in economics, banking, and finance.
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Video: Automated application reviews for loans and credit