DAT 204 - R for Analytics

 
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.

1. Execute essential operations in R-Studio including loading and viewing structured data files, reading data into R objects and manipulating data.
2. Choose appropriate data storage objects and configure them for desired analysis processes given structured data in a variety of formats.
3. Generate basic plots and descriptive statistics in R for all relevant variables in a given structured data set.
4. Explain the fundamentals of linear regression analysis and write R scripts to conduct a straightforward regression analysis on a structured data set.
5. Implement an end-to-end data analysis process.
6. Generate exportable plots and reports using Shiny.

1. Integrated development environment
2. Structured data
3. Vectors
4. Objects
5. Arrays and matrices
6. Data frames
7. Functions
8. Regressions
9. Plots

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