R programming has become a useful language in the field of data science. It has allowed practitioners to apply statistical a wide number of data sources. But where does one start to learn the principles in the language, and also develop models that are useful?

This workshop will go through the basic usage of R programming including: * Installing R programming * The basic programming protocols in R, including the value of libraries * The basics of RStudio (the IDE used for R), * R Markdown * How data is accesssed (API, libraries, data files) * Data sources and ideas for researching data * Overview of basic models (focus on regression) * Data Science examples will be noted * Data visualization with ggplot and other data visualization options