Data science is a new field of research focuses on extracting knowledge and value from data. The radical growth in recent years in the availability of data and of the computational resources required to process them, has led to a corresponding increase in demand for data scientists. As a result, new data science education programs are opening at a growing rate.

Over the past few years, several papers on data science programs were published, focusing on their curricular aspects. The pedagogy of those programs, however, has received only little attention. To partially close this gap, my doctoral research focuses on the pedagogical aspects of data science.

The pilot phase of the research was carried out in graduate, undergraduate, and high school data science programs. The results of the pilot research are organized by a framework of ten challenges of data science education whose purpose is to improve our understanding of the pedagogical challenges of data science education for various populations and to develop pedagogical methods for coping with them. The current stage of research aims to validate this framework.