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Practical Time Series Forecasting with R: A Hands-On Guide [2nd Edition] (Practical Analytics) Paperback – July 19, 2016

4.5 4.5 out of 5 stars 111 ratings
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Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications.

The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time-series data.

Featuring improved organization and new material, the Second Edition also includes:

  • Popular forecasting methods including smoothing algorithms, regression models, and neural networks
  • A practical approach to evaluating the performance of forecasting solutions
  • A business-analytics exposition focused on linking time-series forecasting to business goals
  • Guided cases for integrating the acquired knowledge using real data
  • End-of-chapter problems to facilitate active learning
  • A companion site with data sets, R code, learning resources, and instructor materials (solutions to exercises, case studies)Globally-available textbook, available in both softcover and Kindle formats
Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, finance and management.For more information, visit forecastingbook.com
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  1. Print length
    232 pages
  2. Language
    English
  3. Publication date
    July 19, 2016
  4. Dimensions
    7 x 0.53 x 10 inches
  5. ISBN-10
    0997847913
  6. ISBN-13
    978-0997847918
  7. See all details
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Editorial Reviews

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Praise for previous editions

"The book is a little gem. I found the writing in this book to be a refreshing contrast, making technical concepts understandable."-- FORESIGHT, The International Journal of Applied Forecasting

"An excellent starting point for anyone dealing with time series forecasting. One of the best intro books on time series and forecasting I have ever seen."-- Prof. Ron Kenett

"A concise and well-written book for MBA and Executive MBA programs. The book is especially timely as more MBA programs are using R."-- Prof. Johannes Ledolter

"Galit Shmueli has provided something that you don't see very often - a book with meat that does not have pages and pages stuffed full of equations..."-- John Seymour, "John the Math Guy"

 The exposition is accessible to students with a wide range of backgrounds, and balanced between enough mathematics to explain the methods but not so much that it raises barriers to understanding... first-rate textbook at a bargain price.-- Prof. Thomas Tiahrt

About the Author

GALIT SHMUELI, PhD is Distinguished Professor at the Institute of Service Science, National Tsing Hua University, Taiwan. She is co-author of the best-selling textbook Data Mining for Business Analytics, among other books and numerous publications in top journals. She has designed and instructed courses on forecasting, data mining, statistics and other data analytics topics at University of Maryland's Smith School of Business, the Indian School of Business, National Tsing Hua University and online at statistics.com
For more information, visit galitshmueli.com
KENNETH C. LICHTENDAHL JR. is an Associate Professor of Business Administration at the University of Virginia's Darden School of Business. He specializes in teaching data science to MBA students with R. He was recognized by The Case Centre as its 2015 Outstanding Case Teacher for his course Data Science in Business. His research focuses broadly on making, evaluating, and combining forecasts and has been published in leading academic journals such as Management Science.

Product details

  • Publisher ‏ : ‎ Axelrod Schnall Publishers (July 19, 2016)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 232 pages
  • ISBN-10 ‏ : ‎ 0997847913
  • ISBN-13 ‏ : ‎ 978-0997847918
  • Item Weight ‏ : ‎ 2.31 pounds
  • Dimensions ‏ : ‎ 7 x 0.53 x 10 inches
  • Customer Reviews:
    4.5 4.5 out of 5 stars 111 ratings

About the author

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Galit Shmueli

Galit Shmueli

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Galit Shmueli is Distinguished Professor at the Institute of Service Science, National Tsing Hua University, Taiwan. She is also a visiting scholar at Academia Sinica's Institute of Statistical Science. Between 2011-2014 she was the SRITNE Chaired Professor of Data Analytics and Associate Professor of Statistics & Information Systems at the Indian School of Business. She is best known for her research and teaching in business analytics, with a focus on statistical and data mining methods for contemporary data and applications in information systems and healthcare.

Dr. Shmueli's research has been published in the statistics, management, information systems, and marketing literature. She authored/co-authored over ninety journal articles, books, textbooks and book chapters, including the popular textbook Data Mining for Business Intelligence and Practical Time Series Forecasting. Dr. Shmueli is an award-winning teacher and speaker on data analytics.

She has taught at Carnegie Mellon University, University of Maryland, the Israel Institute of Technology, Statistics.com and the Indian School of Business. Her experience spans business and engineering students and professionals, both online and on-ground. Dr. Shmueli teaches courses on data mining, statistics, forecasting, data visualization, and industrial statistics.

For more information, visit www.galitshmueli.com

Customer reviews

4.5 out of 5 stars
111 global ratings

Customers say

Customers find the content useful, well-explained, and accessible to students with a wide range of backgrounds. They also say the exposition is balanced and the book is worth the buy.

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5 customers mention "Content quality"5 positive0 negative

Customers find the content useful and well-explained. They appreciate the right amount of information and the use of good data. Readers also mention the exposition is accessible to students with a wide range of backgrounds.

"...The exposition is accessible to students with a wide range of backgrounds, and balanced between enough mathematics to explain the methods but not so..." Read more

"Really helpful...." Read more

"...value for money, covers every topic sufficiently with the right amount of information, and use of good data and resourcesl" Read more

"The content is quite useful and well explained...." Read more

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Customers find the book worth the buy. They also say it's a first-rate textbook at a bargain price.

"...of the book it seemed like a rush to get it done, but, it's still worth the buy" Read more

"Solid book value for money, covers every topic sufficiently with the right amount of information, and use of good data and resourcesl" Read more

"Very good book that details all the steps involved in forecasting." Read more

"First-rate Textbook at a Bargain Price..." Read more

Top reviews from the United States

Thomas Tiahrt
5.0 out of 5 stars First-rate Textbook at a Bargain Price
Reviewed in the United States on August 4, 2016
Verified Purchase
I have taught, and teach, a two-course data mining sequence for the MBA business analytics specialization at my university using Dr. Shmueli’s Data Mining for Business Analytics and Practical Time Series Forecasting textbooks. Both the supporting materials and the textbooks are high-quality products that match up well with the mathematical facility and technical skills of my students. The exposition is accessible to students with a wide range of backgrounds, and balanced between enough mathematics to explain the methods but not so much that it raises barriers to understanding. I looked far and wide for comparable texts, but I know of no other combination that meets the needs of my students as well as these two texts. I unhesitatingly recommend them both.
4 people found this helpful
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Rachel
5.0 out of 5 stars Great for a beginner!!
Reviewed in the United States on June 9, 2020
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Used this in an independent study of time series. Great book to start with!
4 people found this helpful
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Kurben Nnm
4.0 out of 5 stars close to the end of the book it seemed like a rush to get it done
Reviewed in the United States on July 9, 2018
Verified Purchase
Really helpful. It's less about the codes in it than what it taught me about how to think about forecasting and the processes to go about before doing them. It is a phenomenal book. I do have one criticism which is, close to the end of the book it seemed like a rush to get it done, but, it's still worth the buy
6 people found this helpful
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Ace of Space is the place
5.0 out of 5 stars and use of good data and
Reviewed in the United States on January 5, 2017
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Solid book value for money, covers every topic sufficiently with the right amount of information, and use of good data and resourcesl
One person found this helpful
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Janvier Mwitirehe
5.0 out of 5 stars Five Stars
Reviewed in the United States on December 17, 2016
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Very good book that details all the steps involved in forecasting.
One person found this helpful
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anonymous
5.0 out of 5 stars I am always looking for new materials when I teach ...
Reviewed in the United States on August 25, 2016
I am always looking for new materials when I teach forecasting modules in MBA and Executive MBA programs. This is a concise and well-written book for this market. The book is especially timely as more MBA programs are using R.
One person found this helpful
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Hernandez Family
3.0 out of 5 stars Good Summary, but lacks lots of detail
Reviewed in the United States on February 17, 2017
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While the book does go into some detail in some aspects, it is mostly a summary of some of the time series concepts...The main focus here is univariate time series analysis and after some research online most of these concepts can be found online, really wish there was more detailed examples and multiple pictures to help interpret the acf and pacf plots which are a main component to evaluating ARIMA models
6 people found this helpful
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Self Learning Customer
1.0 out of 5 stars ESTAFA
Reviewed in the United States on October 15, 2019
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ESTAFA.

Si bien el libro esta bien estructurado y utiliza un lenguaje claro, tiene un grandisimo inconveniente: no trae las respuestas a los problemas de cada capitulo, tampoco estan disponibles en la pagina web.

Es inconcebible un libro cuyo titulo diga PRACTICO , no ponga a disposición de sus lectores el solucionario de los problemas propuestos.

Escribí al autor quien rapida y gentilmente me respondió que solo se comparten las soluciones con instrcutores que oficialmente adopten el libro como guía de sus clases, con esto deja por fuera a todas las personas que no tenemos los recursos para acceder a un curso y que compra libros para aprender por si mismos sin instructores o paragando onerosos cursos.

Tambien me sugirio tomar su curso online por la múdica suma de USD 589 dolares.

En fin me siento ESTAFADO.
10 people found this helpful
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Top reviews from other countries

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Thiago R.
5.0 out of 5 stars Melhor livro de séries temporais
Reviewed in Brazil on August 18, 2021
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O autorexplica conceitos complexos de forma muito acessível para pessoas que não conhecem o assunto ou conhecem pouco. O Acredito que lendo esse livro você consiga sair do zero em time series
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Ignacio
5.0 out of 5 stars Muy interesante
Reviewed in Spain on June 10, 2020
Verified Purchase
Buen libro resumen de algo tan específico como predicción de series temporales con R.
Para los que nos dedicamos al análisis de datos es muy interesante. Lo recomiendo.
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JP
5.0 out of 5 stars It's hard to find a good book on Time series
Reviewed in Canada on July 24, 2018
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It's hard to find a good book on Time series, let alone using R. This one is one of the best. The author has a great way of explaining the concepts.
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Dinesh Lekhak
4.0 out of 5 stars Four Stars
Reviewed in India on April 15, 2018
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Good book to start with
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Fernando Mitidieri
4.0 out of 5 stars Muito útil!
Reviewed in Brazil on May 31, 2017
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Livro com conteúdo que serviu ao meu propósito buscar um bom embasamento sobre as séries temporais e técnicas para forecasting.
One person found this helpful
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