The Authors

In 2010, Prof. Galit Shmueli authored the first Practical Time Series Forecasting edition. Since then, several new editions have been published, including Indian, Korean, and Chinese editions. For the R Edition, Galit Shmueli teamed up with Kenneth C. Lichtendahl, Jr. to create Practical Time Series Forecasting with R.

GALIT SHMUELI is Chair Professor at the Institute of Service Science, National Tsing Hua University, Taiwan. She is co-author of the best-selling textbook Machine Learning for Business Analytics, among other books and numerous publications in top journals. She has designed and instructed courses on forecasting, machine learning, statistics and other data analytics topics at University of Maryland’s Smith School of Business, the Indian School of Business, National Tsing Hua University and online at Statistics.com.

KENNETH C. LICHTENDAHL JR. is an Associate Professor of Business Administration at the University of Virginia’s Darden School of Business. He specializes in teaching data science to MBA students with R. He was recognized by The Case Centre as its 2015 Outstanding Case Teacher for his course Data Science in Business. His research focuses broadly on making, evaluating, and combining forecasts and has been published in leading academic journals such as Management Science.

JULIA POLAK is a Research Fellow at the Centre of Excellence for Biosecurity Risk Analysis (CEBRA) at the University of Melbourne. With a passion for education, she has taught a range of statistics courses to undergraduate and graduate students, catering to diverse levels of proficiency in statistics. Julia integrates innovative teaching methodologies into her curriculum, including the use of dynamic graphics, interactive applications, and data competitions, to enhance learning and engagement beyond traditional assignments.