DAT 204 - R for Analytics Credits: 3 3 Skills Lab Hours
Prerequisites: DAT 102 and MAT 120
Description 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. Learning Outcomes Upon successful completion of the course, the student will:
- Execute essential operations in R-Studio including loading and viewing structured data files, reading data into R objects and manipulating data.
- Choose appropriate data storage objects and configure them for desired analysis processes given structured data in a variety of formats.
- Generate basic plots and descriptive statistics in R for all relevant variables in a given structured data set.
- Explain the fundamentals of linear regression analysis and write R scripts to conduct a straightforward regression analysis on a structured data set.
- Implement an end-to-end data analysis process.
- Generate exportable plots and reports using Shiny.
Listed Topics
- Integrated development environment
- Structured data
- Vectors
- Objects
- Arrays and matrices
- Data frames
- Functions
- Regressions
- Plots
Reference Materials The R software package is one of the most rigorously documented open-source data analysis systems available today. As such ample free online resources exist for both learning R fundamentals and conducting advanced analysis. Approved By: Bullock, Quintin Date Approved: 04/25/2018
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