He has been a practicing data scientist since 2004, when he became the first full-time statistical analyst for the New York Mets. Baumer is an assistant professor in the Statistical & Data Sciences program at Smith College. The book features a number of exercises and has a flexible organization conducive to teaching a variety of semester courses. This book will help readers with some background in statistics and modest prior experience with coding develop and practice the appropriate skills to tackle complex data science projects. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling statistical questions.Ĭontemporary data science requires a tight integration of knowledge from statistics, computer science, mathematics, and a domain of application. Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Provides a true blend of statistics and computer science - not just a grab bag of topics from each.Contains illustrations using R and Rstudio.Includes many examples and extended case studies.
Offers a text accessible to a general audience with some background in statistics and computing.
0 kommentar(er)
