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Time Series for Data Science
Time Series for Data Science
Time Series for Data Science
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The channel contains videos related to the new book Time Series for Data Science: Analysis and Forecasting by Wayne A. Woodward, Bivin P. Sadler, and Stephen D. Robertson.

Finally there’s a book written for the applied time series market that is specifically designed for professional master’s programs in Applied Statistics or Data Science and is also appropriate for upper-level undergraduate courses in time series analysis or for MBA programs in business analytics. The book uses material that has been polished and curated from years of teaching time series in the online Data Science and on-campus Applied Statistics and Data Analytics Masters programs at Southern Methodist University.

This book is written at a level accessible to students who have little or no calculus, but at the same time is in no way a “cookbook” of time series methods. The book provides the essential information to prepare students with marketable skills and tools needed on the job for the data scientist.

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Time Series for Data Science
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Channel Info
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Web Scraping using Bots
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Web Scraping
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Butterworth Filter
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Periodogram
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Sample Spectral Density
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Fourier Representation
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Multiple Realizations
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Stationarity Conditions
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Bivariate Data
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Unbiased Estimators
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