DAT301 - Exploring Data in R and Python
Course: DAT301 (Exploring Data in R and Python) in DAT department at Arizona State University.
Credit Hours: 4 • Academic Level: year 0 undergraduate course
Course Requirements: Requires 2 prerequisite courses
Prerequisite Chain Depth: 8 levels of foundational courses required
Future Opportunities: Unlocks 9 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 DAT301
- DAT301 - Exploring Data in R and Python
- ACT370 - Software Tools for Business Analytics
- CIS415 - Big Data and AI in Business
- GIS471 - Spatial Statistics for Geography and Planning
- ACT420 - Ratemaking and Reserving
- DAT401 - Statistical Modeling and Inference for Data Science
- DAT435 - Exploration and Analysis of Environmental Data
- DAT431 - Industry Tools for Data Science
- ACT435 - Statistics for Risk Modeling
Academic Planning at Arizona State University
Students planning DAT301 at Arizona State University should complete 2 prerequisites before enrollment.
Course Sequence: This course requires a 8-level prerequisite chain, requiring careful multi-semester planning for optimal progression.
Future Pathways: Completing DAT301 enables enrollment in 9 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.