Description
Modern Data Science with R is a comprehensive data science textbook for undergraduates that accommodates statistical and computational thinking to solve real-world problems with data. Relatively than focal point exclusively on case studies or programming syntax, this book illustrates how statistical programming within the state of the art R/RStudio computing environment can also be leveraged to extract meaningful information from various data within the service of addressing compelling statistical questions.
Contemporary data science requires a tight integration of knowledge from statistics, computer science, mathematics, and a domain of application. This book will lend a hand readers with some background in statistics and modest prior experience with coding develop and practice the precise skills to tackle complex data science projects. The book features a variety of exercises and has a flexible organization conducive to teaching various semester courses.