5 Ways Data Science Changed Finance




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Did data science change the finance industry? And if it did — how? Well, of course, data science in finance changed the industry massively!

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From informing banks how to give low risk credits to stock exchange through machine learning algorithms — data science is reinventing finance! To learn more about all the other ways data science changed finance, though, watch this video!

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Ever since its genesis, Data Science has helped transform many industries.
For decades financial analysts have relied on data to extract valuable insights, but the rise of Data Science and Machine Learning has brought upon a new era in the field. Now, more than ever, automated algorithms and complex analytical tools are being used hand-in-hand to get ahead of the curve.

So, let’s explore the 5 ways in which financial institutions use these methods to their advantage!

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Number 5: Fraud Prevention
Fraud prevention is a part of financial security that deals with fraudulent activities, such as identity theft and credit card schemes. Abnormally high transactions from conservative spenders, or out of region purchases often signal credit card fraud. Whenever such are detected, the cards are usually automatically blocked, and a notification is sent out to the owner.

That way, banks can protect their clients, as well as themselves and even insurance companies, from huge financial losses in a short period of time. The opportunity costs far outweigh the small inconvenience of having to make a phone call or issue another card.

The role data science plays here comes in the form of random forests and other methods that determine whether there are sufficient factors to indicate suspicion.

Number 4: Anomaly Detection
Unlike Fraud Prevention, the goal here is to detect the problem, rather than prevent it. The reason is that we can’t classify an event “anomalous” as it happens but can only do so in the aftermath. The main application of this anomaly detection in finance comes in the form of catching illegal insider trading…

Enjoy the video!

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  • 365 Data Science
    November 25, 2020

    👇🏻Learn more about our courses and get a SPECIAL OFFER:
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    Comment, like, share, and subscribe! We will be happy to hear from you and will get back to you!

    #DataScience #Data #Science #Finance

  • 365 Data Science
    November 25, 2020

    Good job, I'd also like to suggest another reasons to review about Data Science Use Cases in Banking
    https://axisbits.com/blog/Top-9-Data-Science-Use-Cases-in-Banking

  • 365 Data Science
    November 25, 2020
  • 365 Data Science
    November 25, 2020

    I am a master's in Economics student and I don't have any technical knowledge…. Can I able to pursue data science?

  • 365 Data Science
    November 25, 2020

    Hey how data science and costing are related

  • 365 Data Science
    November 25, 2020

    This channel helps me to be interested in Data Science a lot. Thanks for it.

  • 365 Data Science
    November 25, 2020

    365 careers is the only instructor to teach complex topics in a manner which is a visual treat for most of the students. I hope they would bring out courses on the five topics mentioned above i.e. data science in finance.

  • 365 Data Science
    November 25, 2020

    Data Science is future of world technologies

  • 365 Data Science
    November 25, 2020

    Another great video! I would love to explore some of the algo trading techniques and api's that are out there. I bet that would make some good content for my channel!

  • 365 Data Science
    November 25, 2020

    lol, tthis is so interesting i started to look into each of these… this channel will make me a nerd 😅😅😅

  • 365 Data Science
    November 25, 2020

    Thanks for the video! very informative!

  • 365 Data Science
    November 25, 2020

    Data science would be the new leading technology as the years go by.

    Like if you agree

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