Multivariate Statistical Analysis in Missing Skills’ Identification

The human capital development programs, partly financed by the means of European Social Fund, result in activities with the goal to equip students with skills not offered in traditional education and training system. Especially unique, so called soft skills seems to be necessary in contemporary professional careers and thus on the labour market. Courses developing skills such as team work ability, leadership, creativity, independent thinking and innovative approach to problem solving will be financed. Here, the university graduates are of special interest. For that purpose, a thorough analysis of needs is necessary. Existing databases describing the quality of human capital should be analysed in order to identify those competencies that graduates of universities are missing. Rich arsenal of multivariate statistical tools may be applicable for analyses. The list cover a wide range of techniques, from the simplest methods of descriptive statistics to advanced multivariate statistical clustering methods. The authors of the study will attempt to identify the missing soft competences using available statistical data