Employees with data literacy skills have become highly valuable in today's economy and labor market. More than ever before, employers demand some degree of data literacy from all employees, regardless of their professional role. New technologies offer many exciting possibilities, but there is no point in having increasingly quantities of data if nobody knows how to explore it effi-ciently. The aim of this study is to examine data literacy at the Universities and industry as well as the study of existing certification systems for data literacy competences. Our analysis uses results from online survey conducted in 20 coun-tries in Europe and North Africa. The results will support the universities and industry to offer innovative, competence-based, cross-cutting data courses for all the students interested in developing or fine tuning their data competences needed for a successful digital transformation process in the job market
Digital transformation missing ingredients: Data Literacy
Taibi D;
2020
Abstract
Employees with data literacy skills have become highly valuable in today's economy and labor market. More than ever before, employers demand some degree of data literacy from all employees, regardless of their professional role. New technologies offer many exciting possibilities, but there is no point in having increasingly quantities of data if nobody knows how to explore it effi-ciently. The aim of this study is to examine data literacy at the Universities and industry as well as the study of existing certification systems for data literacy competences. Our analysis uses results from online survey conducted in 20 coun-tries in Europe and North Africa. The results will support the universities and industry to offer innovative, competence-based, cross-cutting data courses for all the students interested in developing or fine tuning their data competences needed for a successful digital transformation process in the job market| File | Dimensione | Formato | |
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Descrizione: Digital transformation missing ingredients: Data Literacy
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