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Customer Review
Reviewed in the United States on January 11, 2020
I'm about halfway through this book but it is a very easy read and great introduction into time series. A lot of books assume prior knowledge but this one feels like it takes many books and puts them together. It feels like three main segments: an intro to what time series is and the data processing steps, then the introduction of various models and forecasting, and the last segment being the application into machine learning. This is a very great read and I'm happy I purchased it.
I would also like to say that those that complain about the book being written in 2 languages. This is not the book for you if you find it a burden to switch between R and Python. Do not use this book as a beginners guide to programming. That's not its purpose. In my opinion the book isn't hindered by using both but is better because you understand the significance of the libraries being widely available. Each language has its benefits and cons. And in my own career I've switched between both.
I would also like to say that those that complain about the book being written in 2 languages. This is not the book for you if you find it a burden to switch between R and Python. Do not use this book as a beginners guide to programming. That's not its purpose. In my opinion the book isn't hindered by using both but is better because you understand the significance of the libraries being widely available. Each language has its benefits and cons. And in my own career I've switched between both.
