TPDstat
  • Syllabus
  • Schedule
  • Materials
  • Assignments
  • Resources

Schedule

Below is the schedule for the semester. You can find the materials for each course meeting under the “Content” links for that week. You should generally:

  • complete the readings by Tuesday;
  • complete the tutorials by Tuesday (if any); and
  • complete the problem set by Wednesday (before or after the class) (if any)
  • Problem set answers will be posted either Thursday or Friday (if any)

Here’s a guide to the schedule:

  • Materials (): This page contains the readings, slides, and recorded lectures (if any) for the topic. Read/watch these first.
  • Tutorial (): locally hosted tutorial.
  • Assignment (): This page contains the instructions for each assignment.

The readings refer to following texts:

  • QSS: Quantitative Social Science: An Introduction in tidyverse by Kosuke Imai and Nora Webb Williams
  • MD: Statistical Inference via Data Science: A ModernDive into R and the Tidyverse by Chester Ismay and Albert Y. Kim
  • IMS: Introduction to Modern Statistics by Mine Çetinkaya-Rundel and Johanna Hardin.
Date Title Reading Materials Tutorial Assignment
Week 1
3/1/23 Introduction to the course
3/1/23 R, Rstudio, and data visualization MD Ch 1-2
3/1/23 Tutorial 1 (R basic)
Week 2
3/8/23 Tutorial 2 (Data wrangling)
3/8/23 Data wrangling MD Ch 3
3/8/23 Problem Set 1 due
Week 3
3/15/23 Tutorial 3 (Causality)
3/15/23 Causal inference, randomized experiments, and observational studies QSS Ch 2.1-2.5
3/15/23 Problem Set 2 due
Week 4
3/22/23 Tutorial 4 (Summarizing data)
3/22/23 Summarizing data & Survey sampling QSS Ch 2.6-3.4
3/22/23 Problem Set 3 due
Week 5
3/29/23 Tutorial 5 (Correlation and Tidying)
3/29/23 Summarizing relationships in our data QSS Ch 3.5-3.6 & MD Ch4
3/29/23 Data importing and tidy data MD Ch4
3/29/23 Problem Set 4 due
Week 6
4/5/23 Prediction & Iteration QSS 4.1 (except 4.1.2)
4/5/23 Tutorial 6 (Loops)
4/5/23 Regression MD Ch 5 or QSS 4.2 (except 4.2.5)
Week 7
4/9/23 Final Project Milestone 1
4/26/23 Multiple regression MD Ch 6.1-6.2 or QSS 4.3.1-4.3.2, 4.4.1
4/26/23 Interpreting regression
4/26/23 Tutorial 7 (Regression)
Week 8
4/30/23 Final Project Milestone 2
5/3/23 Heterogenous effects in Regression QSS 4.4.2
5/3/23 Problem Set 5 due
Week 9
5/10/23 Tutorial 8 (Bootstrapping)
5/10/23 Sampling and sampling distribution MD Ch 7
5/10/23 The bootstrap and confidence intervals MD Ch 8/IMS Ch 12
Week 10
5/17/23 Hypothesis testing MD Ch 9/IMS Ch 11
5/17/23 Problem Set 6 due
5/24/23 Final Project Milestone 3
5/24/23 Problem Set 7 due