Analyzing data is now essential to success in education, employment, and other areas of activity in the knowledge society. Even though several frameworks describe the competencies and skills needed to meet current and future challenges, no data analytics competency framework exists to describe the importance of specific skills to succeed in data analytics assignments. In this article, we explore which competencies are required for effective data analytics by applying the Delphi technique and exploring the opinions of data analytics experts.
Our results present a list of cognitive, intrapersonal, and interpersonal competencies, voted up by a consensus panel of experts in the field. Focusing on the three categories of essential competencies will help to better prepare students and employees for existing and future roles as citizens, employees, managers, parents, and volunteers. We urge policymakers, academic institutions, and educators to establish programs and reassess existing curricula and materials to support the development of these essential competencies.
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