The student is introduced to the most common data analysis techniques in the field of statistics for business decision making. These comprehend applications in marketing, customer satisfaction, cluster analysis and market segmentation. The student in also introduced to R programming. Comunicative skills of the students will be improved by presenting a data analysis project on real data that should be carried over the whole period of lectures. By comparing their work in problem solving with that made by other researchers in the field of applied statistics the judgmental and critical thinking of the student will be improved as well as his/her understating of the theory exposed in class (applied and theoretical)