Syllabi

Course syllabus taught in Data Science at The George Washington University.

Spring 2026: Undergraduate Data Science Courses

DATS 1001: Data Science for All (Section 10 & 11)

DATS 1001: Data Science for All (Section 12)

DATS 2102: Data Visualization for Data Science (Section 11)

DATS 2102: Data Visualization for Data Science (Section 12)

DATS 2103: Data Mining for Data Science (Section 10)

DATS 2103: Data Mining for Data Science (Section 11 & 12)

DATS 2104: Data Warehousing for Data Science (Section 10)

DATS 2104: Data Warehousing for Data Science (Section 11)

DATS 4001: Data Science Capstone (Section 10 & 11)

DATS 4001: Data Science Capstone (Section 12)

DATS 6001: Algorithm Design for Data Science (Section 11)

DATS 6101: Introduction to Data Science (Section 10 & 11)

DATS 6102: Data Warehousing (Section 10)

DATS 6103: Introduction to Data Mining (Section 10)

DATS 6202: Machine Learning I: Algorithm Analysis (Section 10)

DATS 6202: Machine Learning I: Algorithm Analysis (Section 11)

DATS 6303: Deep Learning (Section 80)

DATS 6304: Geographic Information Systems I (Section 82)

DATS 6312: Natural Language Processing for Data Science (Section 10)

DATS 6401: Visualization of Complex Data (Section 10)

DATS 6401: Visualization of Complex Data (Section 11)

DATS 6450: Applied Big Data Analytics (Section 13)

DATS 6450: OpenSource: Geo-Programming II (Section 80)

DATS 6450: Geographical Info Systems II (Section 81)

DATS 6501: Data Science Capstone (Section 10)

DATS 6501: Data Science Capstone (Section 11)

DATS 6501: Data Science Capstone (Section 12)

DATS 6501: Data Science Capstone (Section 14)