R for Data Science

CT Score

1500

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STAT 305 or STAT 312 or STAT 310 or ECON 307 or STAT 311 or STAT 385 or STAT 315 or DSCI 301 Description: 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→STAT 405→unlocks 10 courses

10 mapped courses list STAT 405 as a prerequisite. See on the map →

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