将计算纳入统计和数据科学课程（CS）

将计算纳入统计和数据科学课程：创意结构、新颖的技能和习惯及教授计算思维的方法（CS）

尼古拉斯·霍顿，约翰娜·哈丁

诺兰和坦普尔朗（2010年）主张计算在统计课程中的基本作用。在这十年中，统计教育界承认计算技能对于统计学和数据科学实践和数学同样重要。然而，我们的意图和行动之间仍然存在着明显的差距。在《统计与数据科学教育杂志》特刊中，我们收集了一组论文，其中（1） 建议将计算集成的创造性结构，（2） 描述新的数据科学技能和习惯，（3） 提出教授计算思维的方法。我们认为，社区必须加倍努力，在统计和数据科学课程中采用复杂的计算方法。我们希望这些文件为社会在这方面的努力提供有益的指导。

Integrating computing in the statistics and data science curriculum: Creative structures, novel skills and habits, and ways to teach computational thinking

Nicholas J. Horton, Johanna S. Hardin

Nolan and Temple Lang (2010) 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 papers 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 papers provide useful guidance for the community to move these efforts forward.