1. Introduction—What is This Guide About?

Data science is a new discipline of research that is gaining growing interest in both industry and academia. As a result, demand is increasing for data science programs for a variety of learners from a variety of disciplines (data science, computer science, statistics, engineering, life science, social science and humanities) and a variety of levels (from school children to academia and industry). While significant efforts are being invested in the development of data science curricula, or in other words, in what to teach, only sporadic discussions focus today on the data science pedagogy, that is, on how to teach. This is the focus of this guide. In the following introduction, we present the motivation for writing this guide (Sect. 1.2), followed by the pedagogical principles we applied in it (Sect. 1.3), its structure (Sect. 1.4), and how it can be used by educators who teach data science in different educational frameworks (Sect. 1.5). Finally, we present several main kinds of learning environments that are appropriate for teaching and learning data science (Sect. 1.6).