R Programming

This R Programming course aims to give delegates the knowledge to use effective programming principles and to write code in R. R is a powerful statistical language.

However, all too often practitioners even with years of experience are restrained from leveraging this powerful tool for lack of programming knowledge and skills. This course is designed to address this critical need.

From a base with little or no prior programming experience, R Programming will build your knowledge of programming concepts and constructs and train you to implement solutions confidently in R.

Beginning with an introduction to the language and to RStudio, we cover most of R's data types and structures, conditional statements, loops and functions. Delegates also learn how to import and save data files, implement exceptions and error handling for robust code and, produce some common visualization charts.

Finally, there is a demonstrative example of how to carry out Linear regression and two univariate data hypothesis tests, a test for a hypothesized proportion and a mean.