Review: on using Data Science in a Box for an introductory course in data science

This article shares the author's experience using Dr. Mine Ҫetinkaya-Rundel's Data Science in a Box course materials in teaching an introductory course in data science. Such a course is commonly focused on the acquisition, wrangling, and cleaning of data, exploratory data analysis, creating (effective) visualizations, reproducibility of work, effective communication, and modeling, inference, and the ethics of working with data. An overview of the course materials will be provided along with commentary of how the author used some, but not all, of the content in Dr. Ҫetinkaya-Rundel's valuable course resource.