Abstract

In the past 10 years, new data science courses and programs have proliferated at the collegiate level. As faculty and administrators enter the race to provide data science training and attract new students, the road map for teaching data science remains elusive. In 2019, 69 college and university faculty teaching data science courses and developing data science curricula were surveyed to learn about their curricula, computing tools, and challenges they face in their classrooms. Faculty reported teaching a variety of computing skills in introductory data science (albeit fewer computing topics than statistics topics), and that one of the biggest challenges they face is teaching computing to a diverse audience with varying preparation. The ever-evolving nature of data science is a major hurdle for faculty teaching data science courses, and a call for more data science teaching resources was echoed in many responses.

摘要

在过去的十年中，新的数据科学课程和计划已在大学中激增。随着教师和管理人员参加提供数据科学培训并吸引新学生的竞赛，教授数据科学的路线图仍然遥不可及。在2019年，对69位高校教师讲授数据科学课程和开发数据科学课程进行了调查，以了解其课程，计算工具以及他们在教室中面临的挑战。Faculty报告说，他们在入门数据科学领域教授各种计算技能（尽管计算主题要少于统计主题），而他们面临的最大挑战之一是向具有不同准备水平的不同受众讲授计算。数据科学的不断发展的本质是教师教授数据科学课程的主要障碍，