DAT 204 - R for Analytics

 
Description
This course guides students in the use of the R programming language for data analysis. After exploring the fundamentals of the R language and essential data structures, students learn to manipulate structured data in R in preparation for statistical analysis. Standard statistical data analysis techniques are implemented in R. In addition to mechanical fundamentals, this course is rooted in building skills in sound data analytical 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 RStudio including loading and viewing structured data files, reading data into R objects and manipulating data.
2. Demonstrate an understanding of the basics in R programming in terms of constructs, control statements, functions and libraries.
3. Generate basic plots and descriptive statistics in R for structured data sets.
4. Implement an end-to-end data analysis process.
5. Write reusable code that meets program specifications and follows best practices for reproducible data workflows.

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

• Critical Thinking & Problem Solving
• Quantitative & Scientific Reasoning

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