DAT300 - Mathematical Tools for Data Science
Course: DAT300 (Mathematical Tools for Data Science) in DAT department at Arizona State University.
Credit Hours: 3 • Academic Level: year 0 undergraduate course
Course Requirements: Requires 3 prerequisite courses
Prerequisite Chain Depth: 16 levels of foundational courses required
Future Opportunities: Unlocks 8 advanced courses for further study
Interdisciplinary Requirements: Prerequisites span 4 different departments
Course Type: Core pathway course - critical for degree progression
Part of the DAT curriculum at Arizona State University, helping students progress through degree requirements.
Courses unlocked by DAT300
- DAT300 - Mathematical Tools for Data Science
- MAT422 - Mathematical Methods in Data Science
- GIS469 - Multivariate Statistics for Social Sciences
- CDE469 - Multivariate Statistics for Social Sciences
- CIS412 - Business Machine Learning
- CSE475 - Foundations of Machine Learning
- DAT431 - Industry Tools for Data Science
- GIS470 - Advanced Statistics for Geography and Planning
Academic Planning at Arizona State University
Students planning DAT300 at Arizona State University should complete 3 prerequisites before enrollment.
Course Sequence: This course requires a 16-level prerequisite chain, requiring careful multi-semester planning for optimal progression.
Future Pathways: Completing DAT300 enables enrollment in 8 advanced courses, opening specialization opportunities in the DAT program.
This year 0 course at Arizona State University integrates into structured degree pathways for DAT programs, supporting timely graduation and academic progression.