Abstract

Over the last 20 years, statistics preparation has become vital for a broad range of scientific fields, and statistics coursework has been readily incorporated into undergraduate and graduate programs. However, a gap remains between the computational skills taught in statistics service courses and those required for the use of statistics in scientific research. Ten years after the publication of “Computing in the Statistics Curriculum,” the nature of statistics continues to change, and computing skills are more necessary than ever for modern scientific researchers. In this article, we describe research on the design and implementation of a suite of data science workshops for environmental science graduate students, providing students with the skills necessary to retrieve, view, wrangle, visualize, and analyze their data using reproducible tools. These workshops help to bridge the gap between the computing skills necessary for scientific research and the computing skills with which students leave their statistics service courses. Moreover, though targeted to environmental science graduate students, these workshops are open to the larger academic community. As such, they promote continued learning of the computational tools necessary for working with data, and provide resources for incorporating data science into the classroom.

摘要

在过去的20年中，统计准备对于广泛的科学领域变得至关重要，统计课程工作已经很容易地纳入本科和研究生课程。但是，在统计服务课程中教授的计算技能与在科学研究中使用统计学所需的技能之间仍然存在差距。在《统计课程中的计算》出版十年后，统计的性质不断变化，对于现代科学研究人员来说，计算技能比以往任何时候都更为必要。在本文中，我们描述了针对环境科学研究生的一套数据科学讲习班的设计和实现的研究，这些讲习班为学生提供了使用可重现的工具检索，查看，整理，可视化和分析其数据所必需的技能。这些讲习班有助于弥合科学研究所需的计算技能与学生离开统计服务课程所需要的计算技能之间的差距。此外，这些研讨会虽然针对环境科学研究生，但对广大学术界开放。因此，它们促进了对数据处理所必需的计算工具的不断学习，并提供了将数据科学整合到课堂中的资源。