DAT 204 - R for Analytics
Credits: 3
3 Skills Lab Hours
Prerequisites: DAT-102 and MAT-120
R for Analytics will guide students to the use of the R software platform for data analysis. After exploring the fundamentals of the R scripting language and essential data structures, students will learn to manipulate structured data in R in preparation for statistical analysis. Standard statistical data analysis techniques will be implemented in R such as means testing, variable correlations and linear regressions. In addition to mechanical fundamentals, this course is rooted in building skills in sound data analysis thinking: surveying data sets, generating compelling inquiry questions, conducting rigorous quantitative analysis, drawing conclusions rooted in reproducible findings and discussing the limitations of this analysis with a lay audience.
Course and Section Search
Add to Portfolio (opens a new window)
|