Social Data Science
Syllabus
Calendar
Problem Sets
Problem Set 1: Code Basics
Problem Set 2: Visualization
Problem Set 3: Estimator and Bootstrap
Problem Set 4: Statistical Learning
Problem Set 5: Income Prediction Challenge
Problem Set 6: Potential Outcomes
Problem Set 7: Experiments
Problem Set 8: Matching
Piazza
Honors Section
Welcome
Asking questions with data
Accessing data
Preparing data
Sketching a visualization
Writing
Presenting orally
Extension Requests
Past Year Sites
Causal Inference with Unmeasured Confounding
Regression Discontinuity
Home
Getting Started
Research Questions in Social Data Science
Software Prerequisites
Basics of R
Visualizing a Distribution
Summary Statistics
Population Sampling
Confidence Intervals
Models for Subgroup Summaries
Linear Regression
Logistic Regression
Forests
Economic Opportunity Measured by Predictability
Sample Splitting
Data-Driven Estimator Selection
Are Complex Models Better?
Causal Inference with Measured Confounding
Defining Causal Effects
Exchangeability
Directed Acyclic Graphs
Data Example
Matching
Models for Causal Inference
Causal Inference with Unmeasured Confounding
Difference in Difference
Regression Discontinuity
Instrumental Variables
Causal Inference with Unmeasured Confounding
Regression Discontinuity
Regression Discontinuity
Topic for 3/4.
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Difference in Difference
Instrumental Variables