Modern Data Science with R: Second Edition
Statistical and Data Sciences: Faculty Publications
We feature a series of complex, real-world extended case studies and examples from a broad range of application areas, including politics, transportation, sports, environmental science, public health, social media, and entertainment. These rich data sets require the use of sophisticated data extraction techniques, modern data visualization approaches, and refined computational approaches.
Context is king for such questions, and we have structured the book to foster the parallel developments of statistical thinking, data-related skills, and communication. Each chapter focuses on a different extended example with diverse applications, while exercises allow for the development and refinement of the skills learned in that chapter. (From publisher)
Baumer, Benjamin; Kaplan, Daniel T.; and Horton, Nicholas J., "Modern Data Science with R: Second Edition" (2021). Statistical and Data Sciences: Faculty Publications, Smith College, Northampton, MA.
This record and link is to the online version of the 2nd edition of Modern Data Science with R.
At the main website for the book, you will find other reviews, instructor resources, errata, and other information.