Practical Time Series Forecasting with R 
and Practical Time Series Forecasting provide an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. 

Balancing theory and practice, the books introduce popular forecasting methods and approaches used in a variety of business applications, and are ideal for Business Analytics, MBA, Executive MBA, and Data Analytics programs in business schools.
Practical Time Series Forecasting with R

Practical Time Series Forecasting

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Why choose Practical Time Series Forecasting?

The ideal forecasting textbooks for business analytics.
  • A new business-analytics approach to time-series forecasting
  • A good balance between theory and practice
  • Plenty of real-world examples
  • Hands-on exercises
  • Affordable and globally available
  • Paperback and Kindle editions
  • Written by author of top-selling Data Mining Book for Business Analytics
  • The perfect companion for data scientists

Praise for the Books

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

"An excellent primer"
— John Seymour, "John the Math Guy"

"This book was the perfect resource!"
— Debra Hunter 

"One of the best intro books on time series and forecasting I have ever seen" 
— Dr. Ron S. Kenett

See all Praise for Practical Time Series Forecasting.

News & Announcements

  • Book Adopted at Amrita University Happy learning to Professor Vivek Menon at Amrita University's MBA Program!
    Posted Sep 21, 2016, 2:13 AM by Boaz Shmueli
  • New Edition of Practical Time Series Forecasting with R Practical Time Series Forecasting with R, Second Edition is now in print (a Kindle version is also available; an Indian Edition is coming soon). Here is a summary of the ...
    Posted Jul 27, 2016, 11:22 PM by Boaz Shmueli
  • Book Adopted at Helzberg School of Management Happy learning to Professor Sandra Cannon's course Forecasting and Time Series Analysis at Rockhurst University's Helzberg School of Management. 
    Posted Jul 27, 2016, 11:25 PM by Boaz Shmueli
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