From the course: The Data Science of Economics, Banking, and Finance, with Barton Poulson

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New methods for analyzing trends

New methods for analyzing trends

From the course: The Data Science of Economics, Banking, and Finance, with Barton Poulson

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New methods for analyzing trends

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- [Instructor] Time changes things but data science doesn't always acknowledge this. Work in audience segmentation, recommendation engines, or image processing, for example, which are big topics in data science, don't usually include temporal variables. But you can't really understand economics, banking and finance, without including changes over time, and so, the ability to analyze trends becomes critical. Now, there's a lot of different ways of looking at trends and data science, I'm going to mention just a few. There's a lot more than this, but this functions as a brief overview. The simplest is moving averages. The second one I want to mention is decomposition of time series. The third one is state transitions, and the fourth one is changepoints. Now, up to this point, I've kept things in this course at a very conceptual level, I'm not going to actually break out the code, but I did create some analyses to show how these things work. The first one, moving averages, is really easy.…

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