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Practical Time Series Forecasting: A Hands-On Guide [2nd Edition] Paperback – July 24, 2012


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Product Details

  • Paperback: 202 pages
  • Publisher: CreateSpace Independent Publishing Platform; 2 edition (July 24, 2012)
  • Language: English
  • ISBN-10: 1468053450
  • ISBN-13: 978-1468053456
  • Product Dimensions: 10 x 7 x 0.4 inches
  • Shipping Weight: 12.8 ounces (View shipping rates and policies)
  • Average Customer Review: 3.9 out of 5 stars  See all reviews (11 customer reviews)
  • Amazon Best Sellers Rank: #471,706 in Books (See Top 100 in Books)

Editorial Reviews

Review

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

About the Author

Galit Shmueli is 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, see www.galitshmueli.com

More About the Author

Galit Shmueli is 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, see www.galitshmueli.com

Customer Reviews

3.9 out of 5 stars
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Most Helpful Customer Reviews

5 of 5 people found the following review helpful By Ron Kenett on February 23, 2012
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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2 of 2 people found the following review helpful By John M. Ford TOP 1000 REVIEWER on April 29, 2013
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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2 of 2 people found the following review helpful By Saseepriyam on September 13, 2012
Format: Kindle Edition Verified Purchase
Though I learnt business statistics and left the subject a long back (nearly 11 years), this book helped me to recollect and learn things faster. Based on this, I even managed to give a functional solution for a tool adding one more to their product portfolio.
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1 of 1 people found the following review helpful By Amit Phatak on May 5, 2014
Format: Kindle Edition Verified Purchase
Perfect for the budding forecasting analysts. Simple and illustrative language. Explanation with examples, guidance and software tips. Good to start with some basic projects and assignments provided in the book.
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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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1 of 1 people found the following review helpful By Jorge H. Chavez on February 26, 2014
Format: Kindle Edition Verified Purchase
I used this book in some of my courses in Supply Chain Management and its text and the number of examples were very useful for my students, in spite they were not very specialist in Forecasting and Time seies Analysis.
Jorge H. Chavez
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