Conduct studies and understanding of the basic concepts of statistics, descriptive statistics, inferential, parametric and nonparametric. Materials include t test, one way ANOVA, two way ANOVA, regression, correlation, cluster analysis, factor analysis, correspondence analysis, and how to choose them. Students have a scientific attitude and are able to perform data analysis and draw conclusions from the results of the analysis. Learning is carried out for one semester using a project base learning approach with lecture methods, question and answer, analytical practice with SPSS and individual assignments. Assessment is carried out through written tests and portfolios.