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Oct 07, 2024
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AEM 2850 - R Programming for Business Analytics and Data Visualization Spring. 3 credits. Letter grades only (no audit).
Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: AEM 2850, AEM 5850 , GDEV 2295 , NTRES 6100 , STSCI 3040 , STSCI 5040 . Enrollment preference given to: Dyson students. Co-meets with AEM 5850 .
T. Gerarden.
This course provides business students with an introduction to the most important tools in R for programming and data visualization. Students will learn the basics of R syntax, data structures, data wrangling, and data visualization using the grammar of graphics. After taking this course, students will have the tools to complete basic tasks in R and interface effectively with statisticians and data scientists in business settings. This course also provides a foundation for future coursework to implement more advanced statistical methods in R.
Outcome 1: Develop basic proficiency in R programming.
Outcome 2: Understand data structures and manipulation.
Outcome 3: Describe effective techniques for data visualization and communication.
Outcome 4: Construct effective data visualizations.
Outcome 5: Utilize course concepts and tools for business applications.
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