GDEV 4295
Last Updated
- Schedule of Classes - November 16, 2024 7:33PM EST
- Course Catalog - November 16, 2024 7:07PM EST
Classes
GDEV 4295
Course Description
Course information provided by the Courses of Study 2024-2025.
This course introduces students to the applied aspects of R programming, a powerful tool for data analysis and statistical modeling widely utilized across various scientific and research disciplines. R's comprehensive environment supports everything from data manipulation to complex statistical analyses and graphics, making it an ideal choice for data-driven research. Students will engage in a hands-on exploration of data import and management, mastering basic and advanced R functions, and utilizing loops for repetitive tasks. They will also learn to create compelling visualizations using R's graphing tools, which are crucial for interpreting and presenting data effectively.
When Offered Spring.
Outcomes
- Manage and Manipulate Data: Efficiently import and manage datasets, and manipulate variables using R to prepare data for analysis.
- Utilize R Functions: Apply R's basic functions for computing summary statistics and performing essential data operations, enhancing their ability to handle complex datasets.
- Create Visualizations: Employ various plotting and graphing tools, including advanced R packages, to create meaningful visual representations of data, aiding in both analysis and storytelling.
- Optimize R Scripts: Develop and utilize functions and loops to improve the efficiency of R scripts, enabling more sophisticated data analysis tasks.
- Conduct Statistical Analysis: Perform fundamental statistical analysis, applying linear models and other statistical tools to interpret data insights critically.
- Present Data Effectively: Learn to present data in an elegant and informative manner, crucial for communicating findings to both technical and non-technical audiences.
Regular Academic Session. Combined with: GDEV 5295
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
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