Teaching
Spring 2025: Data 102 Data, Inference, and Decisions
Fall 2018-2023: Stat 156 / 256 Causal Inference (previous Pol Sci C236A / Stat C239A or Stat 157 / 260)
with lecture notes developed as the book:
Ding, P. (2024) A first course in causal inference. Chapman & Hall. [An old version on ArXiv] [R code on Harvard Dataverse] [Python code by Apoorva Lal] [purchase on Amazon]
Spring 2017-2022, 2024: Stat 230A Linear Models
with lecture notes developed as the book:
Ding, P. (2025) Linear model and extensions. Chapman & Hall. [R code on Harvard Dataverse]
Spring 2023: Stat 158 / 232 Experimental Design
Fall 2016, 2017: Stat 240 Nonparametric and Robust Methods
Fall 2016 - now: Stat 278B or Stat 298 Causal Inference Reading/Research Group (with multiple colleagues)
Spring 2022: Stat 298 Foundations of Statistics Reading Course (with Will Fithian and Aditya Guntuboyina)