文章基本信息

标题：A Fresh Look at Introductory Data Science
本地全文：下载
作者：Mine Çetinkaya-Rundel ; Victoria Ellison
期刊名称：Journal of Statistics Education
电子版ISSN：1069-1898
出版年度：2021
卷号：29
期号：sup1
页码：S16-S26
DOI：10.1080/10691898.2020.1804497
出版社：American Statistical Association
摘要：The proliferation of vast quantities of available datasets that are large and complex in nature has challenged universities to keep up with the demand for graduates trained in both the statistical and the computational set of skills required to effectively plan, acquire, manage, analyze, and communicate the findings of such data. To keep up with this demand, attracting students early on to data science as well as providing them a solid foray into the field becomes increasingly important. We present a case study of an introductory undergraduate course in data science that is designed to address these needs. Offered at Duke University, this course has no prerequisites and serves a wide audience of aspiring statistics and data science majors as well as humanities, social sciences, and natural sciences students. We discuss the unique set of challenges posed by offering such a course, and in light of these challenges, we present a detailed discussion into the pedagogical design elements, content, structure, computational infrastructure, and the assessment methodology of the course. We also offer a repository containing all teaching materials that are open-source, along with supplementary materials and the R code for reproducing the figures found in the article.
关键词：Data science curriculum ; Data visualization ; Exploratory data analysis ; Modeling ; Reproducibility ; R