ABSTRACT

Nolan and Temple Lang argued for the fundamental role of computing in the statistics curriculum. In the intervening decade, the statistics education community has acknowledged that computational skills are as important to statistics and data science practice as mathematics. There remains a notable gap, however, between our intentions and our actions. In this special issue of the Journal of Statistics and Data Science Education, we have assembled a collection of articles that (1) suggest creative structures to integrate computing, (2) describe novel data science skills and habits, and (3) propose ways to teach computational thinking. We believe that it is critical for the community to redouble our efforts to embrace sophisticated computing in the statistics and data science curriculum. We hope that these articles provide useful guidance for the community to move these efforts forward.

摘要

诺兰（Nolan）和坦普尔·朗（Temple Lang）主张计算在统计学课程中的基本作用。在随后的十年中，统计教育界已经认识到，计算技能对统计和数据科学实践的重要性与数学一样重要。但是，我们的意图和行动之间仍然存在明显的差距。在本期《统计与数据科学教育杂志》上，我们整理了一系列文章，其中包括（1）建议用于集成计算的创新结构，（2）描述新颖的数据科学技能和习惯，以及（3）提出教授计算思维的方法。我们认为，对于社区来说，加倍努力将复杂计算纳入统计和数据科学课程至关重要。我们希望这些文章为社区推动这些努力提供有用的指导。