DS-GA courses
26 courses · New York University · Fall 2026
- DS-GA 1001 — Introduction to Data Science1 section
- DS-GA 1002 — Probability and Statistics for Data Science I1 section
- DS-GA 1003 — Machine Learning1 section
- DS-GA 1004 — Big Data1 section
- DS-GA 1005 — Inference and Representation1 section
- DS-GA 1006 — Capstone Project and Presentation1 section
- DS-GA 1007 — Programming for Data Science1 section
- DS-GA 1008 — Deep Learning1 section
- DS-GA 1009 — Practical Training for Data Science1 section
- DS-GA 1010 — Independent Study in Data Science1 section
- DS-GA 1011 — Fundamentals of Natural Language Processing1 section
- DS-GA 1012 — Large Language Models: Evaluation and Applications1 section
- DS-GA 1013 — Mathematical Tools for Data Science1 section
- DS-GA 1014 — Optimization and Computational Linear Algebra1 section
- DS-GA 1015 — Text as Data1 section
- DS-GA 1016 — Computational Cognitive Modeling1 section
- DS-GA 1017 — Responsible Data Science1 section
- DS-GA 1018 — Probabilistic Time Series Analysis1 section
- DS-GA 1019 — Advanced Python for Data Science1 section
- DS-GA 1020 — Mathematical Statistics1 section
- DS-GA 1021 — Probability and Statistics for Data Science II1 section
- DS-GA 1170 — Fundamental Algorithms1 section
- DS-GA 2001 — Research Rotation1 section
- DS-GA 2002 — Communication Skills1 section
- DS-GA 2003 — Introduction to Data Science1 section
- DS-GA 3001 — Special Topics in Data Science1 section
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