Statistics and Data Science

2026–2027

78 courses

S&DS 1000Introductory Statistics
S&DS 1230YData: An Introduction to Data Science
S&DS 1600The Structure of Networks
S&DS 1720YData: Data Science for Political Campaigns
S&DS 2200Introductory Statistics, Intensive
S&DS 2240Dice, Data, and Decisions - The Statistics of Board Game Strategy
S&DS 2300Data Exploration and Analysis
S&DS 2380Probability and Bayesian Statistics
S&DS 2400An Introduction to Probability Theory
S&DS 2410Probability Theory
S&DS 2420Theory of Statistics
S&DS 2650Introductory Machine Learning
S&DS 2800Neural Data Analysis
S&DS 3120Linear Models
S&DS 3170Applied Machine Learning and Causal Inference
S&DS 3350Social Algorithms
S&DS 3510Stochastic Processes
S&DS 3520Biomedical Data Science, Mining and Modeling
S&DS 3540Bayesian Modeling and Inference
S&DS 3610Data Analysis
S&DS 3630Multivariate Statistics
S&DS 3640Information Theory
S&DS 3650Intermediate Machine Learning
S&DS 3790Spatial Statistics
S&DS 4000Advanced Probability
S&DS 4100Statistical Inference
S&DS 4110Selected Topics in Statistical Decision Theory
S&DS 4250Statistical Case Studies
S&DS 4320Advanced Optimization Techniques
S&DS 4800Individual Studies
S&DS 4910Senior Project
S&DS 4920Senior Project
S&DS 5000Introductory Statistics
S&DS 5001Data Science @Yale
S&DS 5170Applied Machine Learning and Causal Inference
S&DS 5200Intensive Introductory Statistics
S&DS 5230YData: An Introduction to Data Science
S&DS 5300Data Exploration and Analysis
S&DS 5350Social Algorithms
S&DS 5380Probability and Statistics
S&DS 5400An Introduction to Probability Theory
S&DS 5410Probability Theory
S&DS 5420Theory of Statistics
S&DS 5510Stochastic Processes
S&DS 5520Biomedical Data Science: Mining and Modeling
S&DS 5540Bayesian Modeling and Inference
S&DS 5630Multivariate Statistical Methods for the Social Sciences
S&DS 5650Introductory Machine Learning
S&DS 5720YData: Data Science for Political Campaigns
S&DS 5790Spatial Statistics
S&DS 5800Neural Data Analysis
S&DS 6000Advanced Probability
S&DS 6030Advanced Stochastic Processes
S&DS 6050Sampling and Optimal Transport
S&DS 6100Statistical Inference
S&DS 6110Selected Topics in Statistical Decision Theory
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 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
S&DS 6530Advanced Markov Chains
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 6980Research Seminar in Mathematical Statistics
S&DS 7000Departmental Seminar