Geometric Data Analysis (GDA) is a specific approach to analysing statistical data that will be rather important for my Project. It comprises methods such as correspondence analysis, multiple correspondence analysis, principal component analysis and more. These methods have come to fame owing to Pierre Bourdieu’s Research (e.g. Distinction: A Social Critique of the Judgement of Taste , Homo Academicus …). It has been a while since I last used GDA (e.g. in my Dissertation). So I indulge this week in five days of refreshing my skills and learning new stuff: at the Summer School on GDA at the University of Potsdam. It includes statistic lectures by Brigitte Le Roux, excercises with the programme SPAD with Philippe Bonnet as well as lectures on various applications of GDA (from this document I borrowed the picture in the Header).
Summer School Geometric Data Analysis Potsdam
