CS 398: R and Advanced Statistics

In this course, students will learn both theoretical and practical techniques for applying statistical models to data. This course teaches how to analyze, visualize data in R and create reproducible data analysis reports. The course contents include understanding the unified nature of statistical inference, conducting frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, and communicating statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, as well as visualizing data with R packages for data analysis. Students will produce a portfolio of data analysis projects using R that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling. This course is designed for students to apply for statistical analysis or data analyst positions.