The course will introduce methods for visualizing, analysing, interpreting data on tourism and producing forecasts. The course is divided in three main parts each based on a different textbook. The first part will introduce the main features of the R statistical software, illustrating how this software can be used for data pre-processing. The reference textbook is R for Data Science by Garrett Grolemund and Hadley Wickham. The second part of the course, based on An Introduction to Categorical Data Analysis by Alan Agresti, will address the problem of analysing customer choices in the field of tourism. The third part of the course will introduce time series analysis with applications to tourism market forecasting. The reference textbook is Forecasting: Principles and Practice by Rob J Hyndman and George Athanasopoulos.