DATA2500 - Data Wrangling in R
Course: DATA2500 (Data Wrangling in R) in DATA department at Carleton University.
Credit Hours: 0.5 • Academic Level: year 0 undergraduate course
Course Requirements: Requires 6 prerequisite courses
Prerequisite Chain Depth: 4 levels of foundational courses required
Future Opportunities: Unlocks 2 advanced courses for further study
Interdisciplinary Requirements: Prerequisites span 3 different departments
Course Type: Capstone or specialized course - synthesizes prior learning
Part of the DATA curriculum at Carleton University, helping students progress through degree requirements.
Courses unlocked by DATA2500
Academic Planning at Carleton University
Students planning DATA2500 at Carleton University should complete 6 prerequisites before enrollment.
Course Sequence: This course requires a 4-level prerequisite chain, requiring careful multi-semester planning for optimal progression.
Future Pathways: Completing DATA2500 enables enrollment in 2 advanced courses, 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.