DATA 710 - R Programming

3 Credits
In this course, students learn R programming language concepts in the context of conducting high-level statistical analysis through application-based programming such as reading data into R, accessing analysis tool boxes in R, writing R functions, debugging, and organizing and commenting in R code. Data mining and analysis projects provide students working examples through which to apply various analysis strategies. Ultimately, students employ advanced modeling techniques to write R code to conduct data analysis with strong reusability.

Course Learning Outcomes:
1. Create simple simulation projects in R.
2. Create graphs, tables, and reports using knitr and Rmarkdown packages.
3. Compute descriptive statistics in R.
4. Create R objects such as matrices, data frames, and lists.
5. Manipulate and transform data in R.
6. Describe basic data types and functions for reading data in R.
7. Write simple R scripts from R command line.
8. Identify and correct data, syntax, and programming logic errors.
9. Import and Export data files of different data types in R.
10. Install R, R-Studio, R packages, and R workbench.