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Practical Time Series Forecasting: A Hands-On Guide [2nd Edition] (Practical Analytics) Kindle Edition
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|Length: 202 pages||Word Wise: Enabled||
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More About the Author
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
Top Customer Reviews
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.
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.
*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.
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.
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.
Most Recent Customer Reviews
A very good introduction to a variety of methods for forecasting time-series data.Published 6 days ago by Tom
Perfect for the budding forecasting analysts. Simple and illustrative language. Explanation with examples, guidance and software tips. Read morePublished 21 months ago by Amit Phatak
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... Read morePublished 23 months ago by Jorge H. Chavez
This is just a little booklet with very little actual data science in it.
Maybe good enough for managers to just grasp a few concepts but definitely of no use for a... Read more
This is a wonderful book for the practitioner. It walks you through the key procedures, lays things out clearly and is very well-written (so few statistics books are!). Read morePublished on May 2, 2013 by Peter Bruce
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. Read morePublished on September 13, 2012 by Saseepriyam
THe book is good, but its not for an Economist who wants precision and technical material. Its not academic, its more like a intuitive guide, not statistic.Published on August 18, 2012 by Rafa
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