The course provides a comprehensive exploration of the fundamental principles of descriptive and inferential statistics in the context of the tourism industry. Students will have the opportunity to acquire essential skills in collecting, analyzing, and interpreting tourism-specific data, enabling them to make informed and evidence-based decisions for destination management. Throughout the course, topics such as time series analysis will be covered, equipping students with the tools to understand and forecast past and future trends in the industry. Another crucial aspect addresses the pivotal role of decision-making processes in tourism, where the appropriate use of statistical tools plays a key role in strategic destination development. Additionally, the course includes hands-on sessions where students will utilize advanced software to analyze historical and prospective tourism demand data, preparing them to tackle real-world challenges in destination management. Lastly, the program encompasses applied destination management analysis, allowing students to apply the acquired statistical knowledge to successfully address issues concerning sustainable tourism destination development.