R Programming for Data Science

Learn the fundamentals of R programming essential for data science.

This is an essential ebook in R programming and discusses the core programming principles of R.

The first section covers the fundamentals of R programming language and how to start using it for finance. You will also learn the basics of data analysis with R using the common data structures such as vectors, matrices, lists and data frames.

The next section covers the key topics like control structures, relational and logical operators, conditional statements, loops and functions.

You will also learn about how to import data into R from various sources such as flat files, excel files, databases, web and other software.

Finally, you will learn the concepts of R functions so that you can write your own functions and automate analysis tasks.