During this R programming virtual training course, you will learn how to use R for data analysis. We’ll start with a discussion of the R language and how to install the R language interpreter and RStudio, the popular R integrated development environment. We’ll learn how R can be extended with modules called packages and discuss some of the popular packages in use. We’ll delve into the unique features of R that make it so suitable for data science. The core R data structures; vectors, matrices, arrays, and data frames, will be discussed with examples. Before moving into predictive modeling, we’ll do a quick overview of key concepts in statistics. From there we will walk through the training, testing, and evaluation of a predictive model. Since many people will be using data from relational databases, we will explain how to use the RODBC package to read in data using a SQL Server table as an example. The course wraps up by discussing related topics such as scaling R programs, creating R based web applications, and creating dynamic presentations with R Markdown.
A basic understanding of data structures would be helpful but not required.