Introduction to Statistical Programming Methods with R

Catalog description

This course provides an introduction to probability and statistics with an emphasis on practical data analytic tasks using the R language. The course covers fundamental statistical concepts such as probability, random variables, probability distributions, linear regression and correlation. We use the R language to understand these concepts, and learn how to perform basic statistical analysis on data sets. Experimental methods, sampling distributions, hypothesis testing and basic ANOVA will be introduced. This course also discusses principles of modern data analysis including tidy data principles, visualization, shiny applications, and reproducible research. Prerequisites: COSC 2336 .