The course contains 3 modules: a) The Basic Principles of Probability Theory, b) Applied Statistics and c) Experimental Design. The aim of the first unit is for students to become familiar with the basic concepts of probability theory, in order to formulate the theoretical competence that will then allow them to evaluate experimental data in practice. Purpose of the second section; which includes practical application of techniques and tools in the computer lab; are students to know the basic statistical techniques required for data analysis, to be able to conduct quantitative and qualitative research, to analyze and process experimental data or field research results, and to evaluate the results of statistical tests (inference) ). Finally, the third section analyzes the concepts of factorial design with two or more factors and two or more price levels as well as the optimal experimental design.