Course Description

This course allows the opportunity to review basic mathematical properties of probability and statistics. From this starting point, statistical methods will be developed such as the classical methods of data analysis (correlation tests, principal component analysis, factorial correspondance analysis, discriminative analysis) and the methods of evaluation of qualitative data (log-linear models, linear and logistic regression). These methods are important in understanding data mining and in training statistical models. The end of the course will discuss more complexe techniaues such as SVM or discriminative analysis. The course is composed of introduction and development of theory through manipulation of real data (analysis using the R program).