Hands-on Data Science with R deals with the practical aspects of R development, more so than the theoretical. In other words, emphasis has been given on how to use R for different data science-related activities, such as machine learning and data mining, as well as topics in visualization, cloud computing, and others. Note that much of the book assumes some prior familiarity with R, such that it is intended for intermediate R users. While a number of introductory explanations, such as  instructions for installing R Studio, have been provided, the reader may find some topics more advanced, which necessitates prior experience with R programming.