This course provides an understanding of the principles and concepts of using computer tools for data analysis and visualization. Students will learn to use a programming language (SAS and R) to wrangle and analyze data, and statistical modeling techniques will be introduced. Written reports will prepare students for clear communication of their analysis in professional settings.
General and brief overview of the R programming language
Categorical predictors, effect plots, and model selection procedures in R and Stata
Explore how to create various types of plots in R using the diamonds data set
Covers the main types of joins and ways to tidy-transform data to facilitate merging information
Practice more tidy verbs to help us better understand and visualize the gapminder data