Ten simple rules for teaching data science

TL;DR

This paper provides ten practical rules for effectively teaching data science, emphasizing unique pedagogical approaches tailored to the discipline's interdisciplinary nature.

Contribution

It introduces a set of ten specific guidelines for data science education, developed by experienced educators to address discipline-specific teaching challenges.

Findings

Rules have been successfully applied in classrooms

Guidelines improve data science teaching effectiveness

Community-developed best practices for education

Abstract

Teaching data science presents unique challenges and opportunities that cannot be fully addressed by simply borrowing pedagogical strategies from its parent disciplines of statistics and computer science. Here, we present ten simple rules for teaching data science, developed and refined by leading educators in the community and successfully applied in our own data science classrooms.