Course  Number  Instructor  Time  Room 
Introduction to Statistics 
S&DS 101a109a/501a509a 
Jonathan ReuningScherer and Staff 
Tues, Thurs 1:002:15 
OML 202 
Data Exploration and Analysis 
S&DS 230a/530a PLSC 530a 
Ethan Meyers 
Tues, Thurs 9:0010:15 
DL 220 
(Bayesian) Probability and Statistics 
S&DS 238a/538a 
Joe Chang 
Tues, Thurs 1:002:15 
ML 211 
Probability for Data Science 
S&DS 240a/540a 
Harrison Zhou 
Mon, Wed 9:0010:15 
TBD 
Probability Theory with Applications 
S&DS 241a/541a MATH 241a 
Yihong Wu 
Mon, Wed 9:0010:15 
SSS 114 
Linear Models 
S&DS 312a/612a 
David Brinda 
Mon, Wed 11:3512:50 
WLH 116 
Measuring Impact and Opinion Change 
S&DS 315a/PLSC 340a 
Josh Kalla 
Tues, Thurs 4:005:15 
TBD 
Introduction to Data Mining and Machine Learning 
S&DS 355a/555a 
John Lafferty 
Tues, Thurs 9:0010:15 
OML 202 
Applied Data Mining and Machine Learning 
S&DS 365a/565a 
Sehand Negahban 
Tues, Thurs 9:0010:15 
LC 101 
Advanced Probability 
S&DS 400b/600b MATH 330b 
Sekhar Tatikonda 
Tues, Thurs 2:303:45 
ML 211 
Statistical Inference 
S&DS 410a/610a 
Zhou Fan 
Tues, Thurs 11:3512:50 
WTS B52 
Statistical Case Studies 
S&DS 425b 
Elena Khusainova 
Mon, Wed 1:00  2:15 
TBD 
Senior Project 
S&DS 491a 
Sekhar Tatikonda 
 
 
Applied Machine Learning and Causal Inference Research Seminar 
S&DS 617 
Jas Sekhon 
Wed 4:005:50 

Statistical Case Studies 
S&DS 625a 
Jay Emerson 
Mon, Wed 1:00  2:15 
TBD 
Markov chains for sampling and optimization 
S&DS 652a 
Andrew Barron 
Tues, Thurs 1:00  2:15 

Indep Study 
S&DS 480ab 
Staff 
 
 
Practical Work 
S&DS 626ab 
DGS 
 
 
Statistical Consulting 
S&DS 627a/628b 
Jay Emerson 
Fri 2:304:30 
24 Hillhouse 
Independent Study or Topics Course 
S&DS 690ab 
DGS 
 
 
Research Seminar in Probability 
S&DS 699ab 
Sekhar Tatikonda and David Pollard 
Fri 11:001:00 
24 Hillhouse 
Departmental Seminar 
S&DS 700ab 
 
Mon 4:005:30 
24 Hillhouse 
Introductory Statistics 
S&DS 100b/500b 
Ethan Meyers 
Tues, Thurs 9:0010:15 
Online 
An Introduction to R for Statistical Computing and Data Science (1/2 credit) 
S&DS 110/510b 
John Emerson 
Mon, Wed 11:4512:50 
Online 
YaleData 
S&DS 123b 
John Lafferty and Elena Khusainova 
Mon, Wed, Fri 10:3011:20 
Online 
Foreign Assistance to SubSaharan Africa: Archival Data Analysis 
S&DS 138b/AFST 378/EVST 378/AFST 570 
Russell Barbour 
Tues, Thurs 2:303:45 
Online 
Data Science Ethics 
S&DS 150b 
Elisa Celis 
Tues, Thurs 1:002:15 
Online 
YData: Data Science for Political Campaigns 
S&DS 172b/572b PLSC347b/524b 
Joshua Kalla 
Wed 1:303:20 
Online 
YData: Analysis of Baseball Data 
S&DS 173b/573b 
Ethan Meyers 
Wed 1:303:20 
Online 
YData: Statistics in the Media 
S&DS 174b/574b 
A. Donoghue 
Wed 9:2511:15 
Online 
YData: Measuring Culture 
S&DS 175b/575b 
Daniel Karell 
Tue 7:008:50 
Online 
YData: Humanities Data Mining 
S&DS 176b/576b 
Catherine DeRose 
Tues, Thurs 1:002:15 
Online 
YData: COVID19 Behavior 
S&DS 177b/577b 
Youpei Yan 
Thurs 9:2511:15 
Online 
Intensive Introductory Statistics and Data Science 
S&DS 220b/520b 
Joe Chang 
Tues, Thurs 9:0010:15 
Online 
Data Exploration and Analysis 
S&DS 230b/530b PLSC 530b 
Jonathan ReuningScherer 
Tues, Thurs 9:0010:15 
Online 
Theory of Statistics 
S&DS 242b/542b 
David Brinda and Andrew Barron 
Mon, Wed 9:0010:15 
Online 
Computational Tools for Data Science 
S&DS 262b/562b 
Roy Lederman 
Mon, Wed 1:002:15 
Online 
Introduction to Causal Inference 
S&DS 314b 
Winston Lin 
Tues, Thurs 4:005:15 
Online 
Applied Machine Learning and Causal Inference 
S&DS 317b/517b 
Jas Sekhon 
Tues, Thurs 4:005:15 
Online 
Stochastic Processes 
S&DS 351b/551b 
Joe Chang 
Mon, Wed 1:002:15 
Online 
Data Analysis 
S&DS 361b/661b 
Elena Khusainova 
Mon, Wed 2:303:45 
Online 
Multivariate Statistics for Social Sciences 
S&DS 363b/563b 
Jonathan ReuningScherer 
Tues, Thurs 1:002:15 
Online 
Information Theory 
S&DS 364b/664b 
Andrew Barron 
Tues, Thurs 11:3512:50 
Online 
Applied Data Mining and Machine Learning 
S&DS 365b/665b 
Sahand Negahban 
Mon, Wed 11:3512:50 
Online 
Senior Capstone: Statistical Case Studies 
S&DS 425b 
Jay Emerson 
Mon, Wed 2:303:45 
Online 
DesignBased Inference for the Social Sciences 
PLSC 528 
Peter Aronow 
Mon 3:305:20 
Online 
Selected Topics in Statistical Decision Theory 
S&DS 411a/611b 
Harrison Zhou 
Thurs 3:306:00 
Online 
Computation and Optimization 
S&DS 431/631 
Anna Gilbert 
Tues, Thurs 1:002:15 
Online 
Statistical Methods in Human Genetics 
S&DS 645b/BIS 692b/CB&B 692 
Hongyu Zhao 
Thurs 1:002:50 
Online? 
Applied Spatial Statistics 
S&DS 674b/F&ES 781b 
Tim Gregoire 
Tues, Thurs 10:3011:50 
Online? 
Informationtheoretic methods in highdimensional statistics 
S&DS 677b 
Yihong Wu 
Tues 3:305:20 
Online 
Statistics and Data Science Computing Laboratory (1/2 credit) 
S&DS 110b/510b 
not taught this year 
Theory of Probability and Statistics 
S&DS 239a/539a 
not taught this year 
Design and Analysis of Algorithms 
CPSC 365b 
not taught this year 
Optimization Techniques 
S&DS 430a/630a ENAS 530a EENG 437a ECON 413a 
not taught this year 
Senior Seminar and Project 
S&DS 490a 
not taught this year 
Senior Project 
S&DS 492b 
not taught this year 
Research Design and Causal Inference 
PLSC 508a 
not taught this year 
Applied Linear Models 
S&DS 531a 
not taught this year 
Intensive Algorithms 
S&DS 566 
not taught this year 
Introduction to Random Matrix Theory and Applications 
S&DS 615b 
not taught this year 
Statistical Computing 
S&DS 662b 
not taught this year 
Spectral Graph Theory 
CPSC 662a 
not taught this year 
Computational Mathematics for Data Science 
S&DS 663a 
not taught this year 
Probabilistic Networks, Algorithms, and Applications 
S&DS 667a 
not taught this year 
Nonparametric Estimation and Machine Learning 
S&DS 468b 
not taught this year 
Topics on Random Graphs 
MATH 670 
not taught this year 
Information Theory Tools in Probability and Statistics 
S&DS 672a 
not taught this year 
Topological Data Analysis 
S&DS 675a 
not taught this year 
Signal Processing for Data Science 
S&DS 676b 
not taught this year 
HighDimensional Statistical Estimation 
S&DS 679a 
not taught this year 
Statistical Methods in Neuroimaging 
S&DS 683a 
not taught this year 
Placeholder  Monograph 
706 
not taught this year 