Chapter 1
Using Open Source R for Data Science
IN THIS CHAPTER
Exploring R programming
Previewing popular R packages
Playing with more advanced R packages
Data science involves the skillful application of math, coding, and subject matter expertise in ways that allow data scientists to generate reliable and accurate predictions from data. While the last element — subject matter expertise — is unique to each practitioner, if you apply data science within a business context, then you’d want to make sure you’ve got a good handle on the needed business acumen and the math-and-statistics requirements of data science (Book 1, Chapter 3). Another important data science constituent to consider is coding, which can be done using the open source programming language R, as covered in this chapter, or Python (covered in Book 6).
This chapter describes the fundamental concepts of programming with R (such as data types, functions, and classes). The machine learning models you build with R or Python can serve as the decision engines within AI SaaS products you build for your company. The chapter also introduces some of the best R packages for manipulating data, performing statistical computations, ...
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