Methods of Business Analytics (BSAN2204)
Information valid for Semester 1, 2025
Course level
Undergraduate
Faculty
School
Business School
Units
2
Duration
One Semester
Attendance mode
In Person
Class hours
Lecture 2 Hours/ Week
Tutorial 2 Hours/ Week
Incompatible
BISM2204
Prerequisite
Maths B or Maths C or MATH1040
Recommended companion
BISM2201 or BSAN2201
Course enquiries
Doctor Thomas Magor (Semester 1, Regular, St Lucia, In person), (Semester 2, Regular, St Lucia, In person)
Current course offerings
| Course offerings | Location | Mode | Course Profile |
| Semester 1, 2025 (24/02/2025 - 21/06/2025) | St Lucia | In Person | Course Profile |
| Semester 2, 2025 (28/07/2025 - 22/11/2025) | St Lucia | In Person | Profile unavailable |
Please Note: Course profiles marked as not available may still be in development.
Course description
This course introduces students to R for the purpose of business analytics and to basic programming concepts used in R. The focus is on an introduction to R, including R infrastructure and interfaces, manipulating and exploring data, predictive models, data export and output, and optimising R code.
