About the Books

Practical Time Series Forecasting, Third Edition and Practical Time Series Forecasting with R, Second and Third Editions provide an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The books introduce popular forecasting methods and approaches used in a variety of business applications.

The books offer clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the Excel® add-in XLMiner® (Practical Time Series Forecasting) or R (Practical Time Series Forecasting with R) to develop effective forecasting solutions that extract business value from time-series data.

Practical Time Series Forecasting with R: A Hands-On Guide
3rd Edition (using the R fable package)


Practical Time Series Forecasting with R: A Hands-On Guide
2nd Edition (using the R forecast package)

Practical Time Series Forecasting: A Hands-On Guide
2nd Edition (Microsoft Excel based)

R and Excel Editions

Practical Time Series Forecasting with R is the R Edition: Methods are illustrated using R, an open-source, free statistical programming language.

The R 2nd Edition uses the R forecast package

The R 3rd Edition uses the R fable package

Practical Time Series Forecasting is the Excel-based Edition: Methods are illustrated using XLMiner, an Excel add-on. However, any software that has time series forecasting capabilities can be used with the book.

What Readers and Reviewers Are Saying

"Bottom line - one of the best intro books on time series and forecasting I have ever seen"

— Dr. Ron S. Kenett

Read more praise for Practical Time Series Forecasting.