DATA3500 - Statistical Programming in R
Course: DATA3500 (Statistical Programming in R) in DATA department at Carleton University.
Credit Hours: 0.5 • Academic Level: year 0 undergraduate course
Course Requirements: Requires 1 prerequisite course
Prerequisite Chain Depth: 5 levels of foundational courses required
Future Opportunities: Unlocks 1 advanced course for further study
Part of the DATA curriculum at Carleton University, helping students progress through degree requirements.
Prerequisites for DATA3500
Courses unlocked by DATA3500
Academic Planning at Carleton University
Students planning DATA3500 at Carleton University should complete 1 prerequisite before enrollment.
Course Sequence: This course requires a 5-level prerequisite chain, requiring careful multi-semester planning for optimal progression.
Future Pathways: Completing DATA3500 enables enrollment in 1 advanced course, opening specialization opportunities in the DATA program.
This year 0 course at Carleton University integrates into structured degree pathways for DATA programs, supporting timely graduation and academic progression.