S&DS courses at Yale
26,188 S&DS courses at Yale University, with prerequisites, ratings, workload, and what each one unlocks.
CoursesRemove S&DS S&DS
Showing 201–227 of 227
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- S&DS 6100Statistical Inference
- S&DS 6120Linear Models
- S&DS 6140Causal Inference
- S&DS 6150Introduction to Random Matrix Theory and Applications
- S&DS 6165Topics in Causal Inference
- S&DS 6170Advances in Large Language Models: Theory and Applications
- S&DS 6180Asymptotic Statistics
- S&DS 6190Sequential Decision Making: Theoretical Foundations and Modern Applications
- S&DS 6250Statistical Case Studies
- S&DS 6260Practical Work
- S&DS 6270Statistical Consulting
- S&DS 6280Statistical Consulting
- S&DS 6320Advanced Optimization Techniques
2 prerequisites
- S&DS 6530Advanced Markov Chains
- S&DS 6540Topics in Bayesian Inference and Data Analysis
- S&DS 6590Mathematics of Deep Learning
- S&DS 6610Data Analysis
- S&DS 6630Computational Mathematics Situational Awareness and Survival Skills
- S&DS 6640Information Theory
- S&DS 6650Intermediate Machine Learning
- S&DS 6690Statistical Learning Theory
- S&DS 6705Bayes Theory, Information Theory, and Neural Networks
- S&DS 6890Scientific Machine Learning
- S&DS 6900Independent Study
- S&DS 6950Summer Internship in Statistics and Data Science
- S&DS 6980Research Seminar in Mathematical Statistics
- S&DS 7000Departmental Seminar