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Practical Data Science with R 2nd Edition 

Data science is an interdisciplinary practice that draws on methods such as data engineering, descriptive statistics, data mining, machine learning, and predictive analytics. Like data science, operations research focuses on executing data-driven decisions and managing their results.

R is open source software which can run well on multiple platforms, like Unix, Linux, Apple’s macOS, and Microsoft Windows. R is a rich and broad language, and there are usually many ways to accomplish the same task. This represents an initial learning curve, as it is difficult to understand what R programs mean until you are familiar with the notation. However, reviewing some of the basic notations is well rewarded, which is good for understanding the R to learn data science methods and practices.

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