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, GDEV 4290, GDEV 5290, NTRES 6100, STSCI 3040, STSCI 5040.
Enrollment preference given to: Dyson students.

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.