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Customer Review
Reviewed in the United States on November 5, 2019
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This book was just released and I'm only a few chapters into it, but I can already attest that it's a fantastic treatment of the topic. It reads like the book I would have written (or perhaps would have liked to have written) if I were to pen a volume on time series analysis. It's a long overdue contribution to the subject, and I'm happy to see it executed so well.
It's very well organized and written in an approachable style, yet does not shy away from the details. It's clear that the author has a great deal of practical, applied experience and has "been there, done that." For example, the chapter on data cleaning impressed me not only because she has the kind of background that impresses on one the importance of clean data, but also because the discussion mirrored many of the hard-earned lessons that I've wrestled with over the years.
If you're interested in time series analysis as more than a purely academic exercise, you would be well placed to have this book on your bookshelf (or in your Kindle library, as the case may be). I highly recommend it.
It's very well organized and written in an approachable style, yet does not shy away from the details. It's clear that the author has a great deal of practical, applied experience and has "been there, done that." For example, the chapter on data cleaning impressed me not only because she has the kind of background that impresses on one the importance of clean data, but also because the discussion mirrored many of the hard-earned lessons that I've wrestled with over the years.
If you're interested in time series analysis as more than a purely academic exercise, you would be well placed to have this book on your bookshelf (or in your Kindle library, as the case may be). I highly recommend it.
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4.2 out of 5 stars
4.2 out of 5
135 global ratings