Nowadays society is data-driven, and data is considered the most valuable economic resource. Therefore, it is not surprising that in the last few years the data scientist has been considered the sexiest job of the 21th century. Acquiring skills in data science increases employability as well as opportunities to find a new job or improve working conditions. As a consequence, well-known universities (e.g. Harvard, ) and ICT big companies (such as IBM, SAS, and so on) have proposed specific courses and certification paths with the aim of developing skills and competences needed to become a data scientist. However, at present, these new learning opportunities have critical limitations that can be ascribed to the fact that:

A key point is the experimentation of the main outcomes of the proposal (syllabus, certification system and validation tool) at a large scale by involving education professionals in different sectors at European level. As concerning the target group, the levels of the Data Literacy profile are designed to address different aspects of the data literacy sphere at a different level of complexity. As an example, the basic profile can be specifically oriented to education professionals that operates in sectors in which the basic knowledge in data literacy is required (including secondary school students or lifelong learners interested in acquiring basic knowledge in data literacy).