As I was designing an introductory course in forecasting for International Business students I came across a very interesting book available for download in the web. The book is “Forecasting: Principles and Practice” by Rob J Hyndman and George Athanasopoulos. Among several nice features, I would stress that this book is for (undergraduate and MBA) business students with little formal training in statistics and it presents plenty of examples using R. The third edition uses the tsibble and fable packages, while the second edition uses the forecast package. I really like chapters 2, 3, and 4 where the authors go over exploratory analysis of time series.
Tag Archives: data analytics
Free book about basic statistics with examples in R
An interesting book for those that are starting to learn basic statistics for data analysis is Practical Statistics for Data Scientists by Peter Bruce and Andrew Bruce. It can be downloaded for free here. This book covers the basics of data exploratory analysis and frequentist statistical theory. Additionally, its final chapters cover classification, statistical machine learning, and unsupervised learning. I do like these last chapters as they are carefully written and easy to understand. The examples using R are very useful. In sum, this is a book worth reading for beginners. The last chapters can also be very helpful for those readers with more experience in data analysys.