All Times ET
Keywords: data science, curriculum design, course design, body of knowledge
As the study of Data Science has grown into a distinct discipline a precise definition and scope for the field has continued to evolve. Several efforts to define curricula and courses emerged from disciplines such as computer science \cite{cassel_strengthening_2015}, statistics \cite{hardin_data_2015}, and mathematics \cite{veaux_curriculum_2017}. The most complete and detailed document that first emerged was the EDISON Project's Data Science Framework (EDISON-DSF) sponsored by the European Union. The EDISON-DSF includes both a Data Science Body of Knowledge (DS-BoK) and Competency Framework (CF-DS). This talk will present key results from a recently published critical review of how the EDISON CF-DS compares to contemporary and subsequent curriculum and course peer-review literature. Areas of strong agreement and disagreement were identified which provide insight into what topics the broader community sees as belonging in (or not in) Data Science.