
Gilad Ravid
Senior Academic
A Delphi study of competencies and skills for data analytics (WIP)
The ability to collect digital records, analyze them and effectively communicate the findings is emerging as a key competency set for graduates of management programs and of other social science programs. This work-in-progress extended abstract describes a Delphi study of the competencies needed for effective data analytics. Fifty international experts will be invited to participate in the study and share their opinion regarding cognitive, intrapersonal and interpersonal competencies. The output collected will be analyzed using "Q methodology". The results of this study will serve us in developing a data-analytics student lab that will support the development of these competencies and improve student readiness for the future labor market.
| Publication language | English |
| Pages | 126-129 |
| Publication status | Published - 01.01.2018 |
Keywords
Big data
CRISP-DM model
Competencies
Data analytics
Delphi technique
Q methodology
Virtual lab
ASJC Scopus subject areas
Education
Information Systems
Software
Sustainable Development Goals
SDG 8 - Decent Work and Economic Growth
SDG 4 - Quality Education