AEM 2850

Last Updated

  • Schedule of Classes - May 2, 2024 7:27PM EDT
  • Course Catalog - May 2, 2024 7:07PM EDT

AEM 2850
R Programming for Business Analytics and Data Visualization

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, AEM 5850, GDEV 3295, NTRES 6100, STSCI 3040, STSCI 5040.

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.

View Enrollment Information

Syllabi:

  •   Regular Academic Session.  Combined with: AEM 5850

  • 3 Credits GradeNoAud

  •  8496 AEM 2850   LEC 001

  •  
    • TR Warren Hall 150
    • Jan 22 - May 7, 2024

    • Gerarden, T

  • Instruction Mode: In Person
    Enrollment preference given to Dyson students in the Business Analytics and EERE concentrations. Students are required to have a personal laptop computer to enroll.

Syllabi:

  •   Regular Academic Session.  Combined with: AEM 5850

  • 3 Credits GradeNoAud

  • 20440 AEM 2850   LEC 002

  •  
    • TR Warren Hall 150
    • Jan 22 - May 7, 2024

    • Gerarden, T

  • Instruction Mode: In Person
    Enrollment preference given to Dyson students in the Business Analytics and EERE concentrations. Students are required to have a personal laptop computer to enroll.