From the course: The Data Science of Economics, Banking, and Finance, with Barton Poulson
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Data science and cryptocurrencies
From the course: The Data Science of Economics, Banking, and Finance, with Barton Poulson
Data science and cryptocurrencies
- [Narrator] When you exchange money, there's a lot of potential intermediaries involved, hence time and risk. And the same thing is true when you carry out contracts. There are a lot of potential slippage points, but what if you could exchange money in a way that was direct, secure, and decentralized? And what if you could have contracts automatically regulated and executed? Well, those are some of the surprising things that'd become possible advent in evolution of cryptographic currencies, or cryptocurrencies. Now, I want to point out that there are other sources here on prominent elements of cryptocurrencies such as; the specifics of Bitcoin, one of the most common forms of cryptocurrency, and the technicalities of the blockchain technology, which underlie it. I don't intend to discuss those here. Instead, I want to discuss just a couple of potentially significant ways that the technologies of cryptocurrencies relate to data science and economics, finance, and banking. First off…
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Contents
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Data science and money10m 24s
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Algorithmic and human-in-the-loop trading8m 5s
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Automated application reviews for loans and credit7m 33s
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Real-time fraud detection6m 42s
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Social media and economics8m 21s
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Data science and cryptocurrencies6m 49s
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New methods for analyzing trends10m 45s
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Correlation and causality in economic data7m 28s
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Ethical and technical challenges and possibilities3m 48s
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Careers7m 59s
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