AEM 2850
Last Updated
- Schedule of Classes - September 10, 2024 10:17AM EDT
- Course Catalog - September 10, 2024 9:19AM EDT
Classes
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AEM 2850
Course Description
Course information provided by the Courses of Study 2023-2024.
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.
When Offered Spring.
Permission Note Enrollment preference given to: Dyson students.
Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: AEM 2850, , , , , .
Outcomes
- Develop basic proficiency in R programming.
- Understand data structures and manipulation.
- Describe effective techniques for data visualization and communication.
- Construct effective data visualizations.
- Utilize course concepts and tools for business applications.
Regular Academic Session. Combined with: AEM 5850
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
- TR Warren Hall 150
- Jan 22 - May 7, 2024
Instructors
Gerarden, T
-
Additional Information
Enrollment preference given to Dyson students in the Business Analytics and EERE concentrations. Students are required to have a personal laptop computer to enroll.
Regular Academic Session. Combined with: AEM 5850
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR Warren Hall 150
- Jan 22 - May 7, 2024
Instructors
Gerarden, T
-
Additional Information
Enrollment preference given to Dyson students in the Business Analytics and EERE concentrations. Students are required to have a personal laptop computer to enroll.
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