Hands-On Time Series Analysis with R

I purchased this text hoping to learn some usefully and statistically relevant stuff. From page to page, the increasing uphill battle became more and more apparent since I was forced into searching for code corrections and updates dealing with applicable software patches. Finishing this book inside the week was quite challenging and hard at the least, nonetheless I suffered to the bitter end. I will make sure not to spend my green bucks on the packt materials. Hard, non-value adding, and time consuming, these are the basic ingredients.

This is a good book, but ther are a number of mistakes that the editor should have caught. For example on page 184, the code should show hour=9 which leads to a different graph. Need better quality checking

Good book. Reader friendly for a novice, brief, and well organized. It is a good introduction to time series analysis and forecasting using R.

I've spend a great part of my bachelor's and master's specializing in modeling and predicting time series.Same with my first years of work experience.Doing general data science work over the past several years I found my prior TS experience relevant and advantageous.To a similar extant, I am confident that this book can too provide a significant advantage to any data scientist.If you read it, experiment with the methods and get an intuition for the models and algorithms, you'll be a force multiplier to your organization.The book is simple, concise, quickly relates a method to its task, and leaves you with all the tools you need to perform industry grade time series modeling and prediction.Thanks and good luck,Lior.

This book has been a boon for my work, as I've never been able to understand all the weird quirks in R with time series data. Since I just started working at a financial institution after graduating, time series analysis is really important.The author took the approach of starting with the basics and building your understanding step-by-step. It was really easy to follow and each step was shown visually. Additionally, the author included their code so that you can take their examples and use it for your own application.Finally, the author created his own package for Time Series analysis, TSstudio, which worked great and allowed for interactive plots through plotly.Will definitely keep this book on my desk!

This book is very didactic and it has valuable explanations.Organized and elegant.A must-read!

I enjoyed reading the book and learned a lot. Very practical with down-to-earth examples.

Can't fault the contents of the book, however, the graphs in the print are all black and white which makes it difficult to read them. And, the graphs were clearly meant to be in colour as the text refers to red and green markings which you cannot see. Makes me think the book is counterfeit but I missed my window to return.

Practical, hands-on guide to forecasting using R. Easy to use, as all the Packt books are.

This book has as its outmost virtue presenting TSstudio -- a powerful tool in time-series analysis -- and advanced forecast techniques accessible for everyone. A very promising text-book for managerial economists. None else could refrain to adopt R thereafter.

El contenido es muy bueno. La versión de pasta blanda tiene las hojas blanco y negro y no se alcanza a ver los gráficos además las hojas parecen fotocopias

Magistral y actual exposición del tema.