This course provides a foundation in the principles and practice of quantitative social science, with a focus on building tools to make descriptive, causal, and predictive inferences and emphasis developing your empirical skills through real-world applications.

Logistics

We meet once a week on Thursday from 4-6:30 pm. All classes require laptops that run R and RStudio. Current syllabus available here

Class

Wednesday 4-6:30 pm

Sections

Tuesday 12-1:00 pm

Assignments

Due on Canvas

Location

111 Thayer St Rm 140

Zoom

Office Hours

Thursdays 1:00-3:00 pm
111 Thayer St Rm 339

Schedule

	Lecture	Labs	Solutions	Assignments
Week 1
Introductions
Week 2
Data & Measurement
Week 3
Data Visualization
Week 4
Causation -- Experiments
Week 5
Causation -- Observational Studies
Week 6
Bivariate Regression
Week 7
Multiple Regression
Week 8
Regression Extensions \| Probability Intro
Week 9
Probability - Random Variables & Distributions
Week 10
Probability - Limit Theorems
Week 11
Inference -- Confidence Intervals
Week 12
Inference -- Hypothesis Testing
Week 13
Workshop
Week 14
Presentation Workshop
Week 15
Presentations