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Practical Time Series Forecasting: A Hands-On Guide [2nd Edition] (Practical Analytics) Kindle Edition

4.1 out of 5 stars 14 customer reviews

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Editorial Reviews

Review

"The book is a little gem." - FORESIGHT, The International Journal of Applied Forecasting

About the Author

Galit Shmueli is Distinguished Professor at the Institute of Service Science, National Tsing Hua University, Taiwan. 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 authors over seventy 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 galitshmueli.com

Product Details

  • File Size: 4114 KB
  • Print Length: 202 pages
  • Publisher: Axelrod Schnall Publishers; 2 edition (July 24, 2011)
  • Publication Date: July 24, 2011
  • Sold by: Amazon Digital Services LLC
  • Language: English
  • ASIN: B004QZ9TZ2
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Enabled
  • Lending: Enabled
  • Enhanced Typesetting: Not Enabled
  • Amazon Best Sellers Rank: #477,401 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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More About the Author

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 authors over seventy 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

Top Customer Reviews

Format: Paperback
This second edition is an excellent starting point for anyone dealing with time series forecasting. The book is very well motivated by real life case studies, the approach is practical and the coverage is comprehensive. Generous references to software programs make the content accessible to undergrads in forecasting classes, MBA students and practitioners in business, industry and services who need to study time series to help decision making processes.

The style is clear, the examples educational and the guidance very professional in addressing a wide scope of issues. I particularly appreciate the fact that the author found a way to balance a serious treatment of time series analysis with practical hand's on treatment of the topic without making it at a "how to" cookbook which assumes the readers are not able to think by themselves.

Bottom line - one of the best intro books on time series and forecasting i have ever seen.
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Format: Paperback Verified Purchase
Galit Shmueli's text on time series forecasting is a practitioner-oriented introduction. She has made the text brief, readable, and focused on commonly-used methods. The book draws on well-explained examples throughout, including those integrated into chapters, those that appear in end-of-chapter problems, and those that fill a final chapter of case studies. Shmueli's book can be used with a six or seven week college class, as the text for a four-week, online statistics dot com course, or for self-study.

It assumes access to XLMiner, an Excel add-on that supports data mining analysis methods, including a set of time series procedures. XLMiner is available in a free, time-limited trial version, so there is not an availability problem for those working on their own. Other time series software is referenced, but users of XLMiner will get the most from the book's examples.

This book was the text for a four-week, online course taught by Shmeuli.* There were few questions from students about what was presented in the book; it was clear and easy to follow. Questions focused on extending the material. The integration with XLMiner works well, with key analyses worked through step by step. It is necessary to obtain a "teacher's version" of the book to see answers to the included exercises. No help from "the back of the book."

I recommend the book for those learning about time series analysis for the first time. It also seems good preparation for those who intend to study this topic in greater depth.
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*The course is now over. Galit Shmueli doesn't have a final grade hanging over my head or anything that would pressure me to give a good review. I genuinely like the book.
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Format: Kindle Edition Verified Purchase
This book was a disappointment. I accept that the author is professional and passionate in the area of forecasting. However, the book was largely a set of principles and planning, performance and reporting of forecasting and a series of problems to motivate self-learning. The problems, though stepwise described, are not worked examples with interpretations or idenitification of pitfalls or limitations. Hence, it fails to achieve pragmatism or "hands-on" experiences suggested in the title.

There are a number of useful data sources and list of references.

In contrast, the rather poor quality video [...] of a lecture given by Professor Hyndman is an excellent "hands-on" introduction. Further, the online textbook "Forecasting: principles and practice" [...]will prove to be an invaluable currently free online resource.
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Format: Kindle Edition Verified Purchase
Prof. Shmueli's text is used as the main textbook in both undergraduate and MBA business forecasting courses at the University of Southern California.

The book provides practitioners with the fundamental concepts and cutting-edge tools needed to understand the emerging role of business forecasting in organizations, apply sophisticated business analytics tools in a business environment, and to communicate with analytics professionals to effectively use and interpret business forecasting models and results for making better business decisions. Three features define this book: visualization; engagement with real life data; and a modern hands-on approach. The general aim of the book is to develop sophisticated professionals’ ability to critically analyze business data. In business forecasting, time series models are used to analyze data that are collected over time to develop forecasting models for revenues, earnings, inventory, sales, budgets, new product development, etc. Because time series data arise in so many different business areas, forecasting methods apply to problems in finance, marketing, real estate, production, operations research, international business, and accounting. This book provides with those skills and also opens possibilities for a forecasting management position in business. There is a shortage of well-trained business analysts, business consultants, MBA’s, etc. for these positions.

This book is based on Microsoft Excel that has become the standard analytical tool in business. Readers also obtain firsthand experience using XLMiner, a state of the art business analytics package that extends Microsoft Excel.
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