Syllabi
Course syllabus taught in Data Science at The George Washington University.
Spring 2026: Undergraduate Data Science Courses
DATS 1001: Data Science for All
- DATS 1001 (Section 10 & 11)
- DATS 1001 (Section 12)
DATS 2102: Data Visualization for Data Science
DATS 2103: Data Mining for Data Science
DATS 2104: Data Warehousing for Data Science
DATS 4001: Data Science Capstone
Spring 2026: Graduate Data Science Courses
DATS 6001: Algorithm Design for Data Science
DATS 6101: Introduction to Data Science
DATS 6102: Data Warehousing
DATS 6103: Introduction to Data Mining
DATS 6202: Machine Learning I: Algorithm Analysis
DATS 6303: Deep Learning
DATS 6304: Geographic Information Systems I
DATS 6312: Natural Language Processing for Data Science
DATS 6401: Visualization of Complex Data
DATS 6450: Topics in Data Science
- DATS 6450: Applied Big Data Analytics (Section 13)
- DATS 6450: OpenSource: Geo-Programming II (Section 80)
- DATS 6450: Geographical Info Systems II (Section 81)