DAT402 - Machine Learning for Data Science
Course: DAT402 (Machine Learning for Data Science) in DAT department at Arizona State University.
Credit Hours: 3 • Academic Level: year 0 undergraduate course
Course Requirements: Requires 5 prerequisite courses
Prerequisite Chain Depth: 10 levels of foundational courses required
Future Opportunities: Unlocks 1 advanced course for further study
Interdisciplinary Requirements: Prerequisites span 3 different departments
Course Type: Capstone or specialized course - synthesizes prior learning
Part of the DAT curriculum at Arizona State University, helping students progress through degree requirements.
Prerequisites for DAT402
Courses unlocked by DAT402
Academic Planning at Arizona State University
Students planning DAT402 at Arizona State University should complete 5 prerequisites before enrollment.
Course Sequence: This course requires a 10-level prerequisite chain, requiring careful multi-semester planning for optimal progression.
Future Pathways: Completing DAT402 enables enrollment in 1 advanced course, 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.