为数据科学奠定基础：在统计学入门和第二课程中整合数据管理技能
Setting the stage for data science: integration of data management skills in introductory and second courses in statistics
摘要：
许多人认为，统计学专业的学生需要额外的设施来表达统计计算。通过向学生介绍数据科学中用于数据管理，可视化和可重复分析的常用工具，并将其应用于现实世界的场景，我们为他们做好了统计学思考的准备。在大数据日益增长的时代，学生必须从入门课程开始培养与数据相关的能力。我们相信，将这些数据科学的先驱整合到我们的数据库中-早期和经常-将有助于统计学家参与关于“大数据”和“大问题”的对话。
英文摘要：
Many have argued that statistics students need additional facility to express statistical computations. By introducing students to commonplace tools for data management, visualization, and reproducible analysis in data science and applying these to real-world scenarios, we prepare them to think statistically. In an era of increasingly big data, it is imperative that students develop data-related capacities, beginning with the introductory course. We believe that the integration of these precursors to data science into our curricula-early and often-will help statisticians be part of the dialogue regarding "Big Data" and "Big Questions".
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
