Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition provi des an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting metho ds and approaches used in a variety of business applications. The book offer s clear explanations, practical examples, and end-of-chapter exercises and cases . Readers will learn to use forecasting methods using the free open-source R sof tware to develop effective forecasting solutions that extract business value fro m time-series data. Featuring improved organization and new material, the Seco nd Edition also includes:Popular forecasting methods including smoothing algor ithms, regression models, and neural networks A practical approach to evaluati ng the performance of forecasting solutions A business-analytics exposition fo cused on linking time-series forecasting to business goals Guided cases for in tegrating the acquired knowledge using real data End-of-chapter problems to fa cilitate active learning A companion site with data sets, R code, learning res ources, and instructor materials (solutions to exercises, case studies) Globally -available textbook, available in both softcover and Kindle formats Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as prof essional programs in data science and business analytics. The book is also desig ned for practitioners in the fields of operations research, supply chain managem ent, marketing, economics, finance and management. For more information, visit f orecastingbook.com