R FOR DATA SCIENCE

Credit Hours: 3 · Undergraduate Upper-Level

This course introduces students to the statistical programming language, R, and how to use it in statistical and data science problems. The course traces the data science pipeline from importing data into R, exploring and visualizing data, applying a variety of statistical methods, and communicating results. Important computational tools for data science (e.g. databases, web scraping, and big data) and good programming practice are integrated throughout the course. No programming experience is required. Graduate/Undergraduate Equivalency: STAT 605 . Mutually Exclusive: Cannot register for STAT 405 if student has credit for STAT 605 .