DATA ANALYSIS AND STATISTICS

main objectives

- To be able to identify" data, determine their priorities/put them in hierarchical order, and use appropriate processing methods (descriptive and/or explanatory methods). - To be able to process large-scale charts. - To be able to describe and interpret results obtained with various statistics softwares capable. - To be able to use a few statistic softwares partially. - To be able to understand the mathematical foundations of the used methods."

general content

- General knowledge (the different types of variables, charts, encoding) - Distances (similarity and dissimilarity indexes, known distances ) - Descriptive methods: statistical tests , factorial methods (Principal Component Analysis, Correcpondance Analysis, Multiple Correspondance Analysis) - Classification methods (AHC and other methods) - Explanatory methods : Segmentation - Multiple linear regression

pedagogy

alternation of lectures - tutorials - practicals / case study / use of Statbox, Question, Statlab software

evaluation

- 1 individual written exam (coef 2) - 1 case study" report (coef 1)"