Teaching data science

This chapter explores strategies for teaching data science to others. While our focus in this book (and the focus of many doing data science in education) is on the use of data science methods to ask and answer questions and identify and solve problems relating to teaching, learning, and educational...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Estrellado, Ryan A., Freer, Emily A., Mostipak, Jesse, Rosenberg, Joshua M., Velásquez, Isabella C.
Format: Buchkapitel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This chapter explores strategies for teaching data science to others. While our focus in this book (and the focus of many doing data science in education) is on the use of data science methods to ask and answer questions and identify and solve problems relating to teaching, learning, and educational systems, how data science is taught and learned is also an important consideration. This is particularly true for those tasked with teaching others, whether in formal settings (such as in classes or workshops) or in those that are informal (such as when providing just-in-time help to a colleague or peer). This chapter first draws attention to the pedagogical principles that undergirded this book, and then describes strategies for teaching data science as well as some general pedagogical strategies that have relevance to those teaching data science. The chapter concludes with a call for those teaching data science to carve out a distinctive field of their own.
DOI:10.4324/9780367822842-16