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STAT 325. Statistical Modeling with R

Credits: 3
Department: Statistics
Description: An introduction to R, RStudio, and R Markdown. R programming basics; R packages; descriptive statistics and graphics; statistical inference; statistical modeling; simulation and resampling methods.
Prerequisites: One of: STAT 219, STAT 239, STAT 242, or STAT 353
Semester Offered: Spring
Grading Method: ABCDF

Student Learning Outcomes

1. Students will be able to use R and R Markdown to write well documented code.
2. Students will be able to use R to manipulate and summarize data.
3. Students will be able to use R to create useful graphical summaries of data.
4. Students will be able to use R for basic statistical modeling of data.

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