This subject introduces students to the basic aspects of spatial data analysis, visualization and map design using a variety of tools, including Geographic Information Systems (GIS). It will guide students in how to use data analysis and visualization to gain insight from spatial and non-spatial data and help understand complex social, urban or scientific questions. Students will gain a sound understanding of both underlying fundamental concepts and methods, as well as a variety of software and techniques for the analysis and visualization of (geographic) data, specifically the desktop GIS software and the R programming language for statistics and visualization. These are tools that are commonly used in multiple disciplines and industries, including the emerging field of data science. Student will get a thorough hands-on experience by applying these methods and techniques in a series of lab-based assignments. Interactive lectures and group discussions will additionally reflect on different applications of data analysis and visualization across disciplines and society in general. The subject will conclude with a group-based project that brings together the entire analysis/visualization workflow from initial question to the collection and analysis of data to the final visual presentation of results.