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Practical Time Series Forecasting with R: A Hands-On Guide [Third Edition]

by Galit Shmueli (Author), Julia Polak (Author)
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Practical Time Series Forecasting with R: A Hands-On Guide, Third 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.

This edition features the R fable package, full color, enhanced organization, and new material. It includes:
  • Popular forecasting methods including smoothing algorithms, regression models, ARIMA, neural networks, deep learning, and ensembles
  • 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
  • Data, R code, and instructor materials on companion website
  • Affordable and globally-available textbook, available in hardcover, paperback, and Kindle formats
Practical Time Series Forecasting with R: A Hands-On Guide, Third 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, information systems, finance, and management.
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  1. ISBN-10
    0997847948
  2. ISBN-13
    978-0997847949
  3. Publication date
    February 24, 2024
  4. Language
    English
  5. Dimensions
    7 x 0.57 x 10 inches
  6. Print length
    250 pages
  7. See all details
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Product details

  • Publisher ‏ : ‎ Axelrod Schnall Publishers (February 24, 2024)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 250 pages
  • ISBN-10 ‏ : ‎ 0997847948
  • ISBN-13 ‏ : ‎ 978-0997847949
  • Item Weight ‏ : ‎ 15.7 ounces
  • Dimensions ‏ : ‎ 7 x 0.57 x 10 inches

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

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