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Causal Inference with R - Experiments

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Course Description

Welcome to the Causal Inference with R – Experiments, the 2nd of 7 courses on causal inference concepts and methods created by Duke University with support from eBay, Inc. Designed to teach you about concepts, methods, and how to code in R with realistic data, this course focuses on experiment design, working with data from controlled and natural experiments, and dealing with noncompliance. We’ll stay away from dense statistical math and focus instead on higher level concepts that data scientists need to always consider when examining and making inferences about experimental data. The course instructors and creators are Dr. Matt Masten (Duke University), James Speckart (Duke), Brian Aronson (Duke), Dr. Tyler Ransom (University of Oklahoma), Dr. Bentley Coffey (University of South Carolina), and Alexandra Cooper (Duke).

  1. 1

    Introduction

    Free

    We introduce how experiments help us find causal connections, and take a quick look at controlled experiments.

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    Course Trailer for Causal Inference with R - Experiments
    50 xp
    Introduction to Experiments
    50 xp
    Rainfall in Sonoma County and eBay sales
    50 xp
    iPhone sales and eBay sales
    50 xp
    A Quick Response
    50 xp
    Controlled Experiments
    50 xp
    Buying a New Phone: Controlled experiments
    50 xp
    Let’s Code: Comparing Ratios
    50 xp
    Buying a New Phone: Comparing Ratios
    100 xp
    Is it a Controlled Experiment?
    50 xp
Weston Stearns Headshot

Weston Stearns

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SSRI @ Duke University Headshot

SSRI @ Duke University

We create modular online educational content for Duke University's Social Science Research Institute to share with students and professionals around the world. If you have any feedback for us about any part of this course, please let us know!
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Tyler Ransom Headshot

Tyler Ransom

PhD in Economics
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Alexandra Cooper Headshot

Alexandra Cooper

Alexandra Cooper earned a Ph.D. in political science from the University of North Carolina at Chapel Hill and has taught at Duke, UNC, UNC-Charlotte, and most recently, at Lafayette College, before joining Duke University to plan and develop the Social Science Research Institute (SSRI). Initially responsible for SSRI's day-to-day programming and operations, as the institute has grown and added staff, she has had the opportunity to focus on coordinating educational programming. Her key responsibilities include organizing workshops and events, and supporting programming focused on improving knowledge and applications of the tools and methods of the social and behavioral sciences.
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Bentley Coffey Headshot

Bentley Coffey

I have an unquenchable curiosity and a passion for policy, with an emphasis on the environment. I have studied an unusually broad array of subjects, with a tendency for my analysis to go deep into rigorous modeling and statistics. Yet, my style is casual and flexible...
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Brian Aronson Headshot

Brian Aronson

Lead Question Developer
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Matt Masten Headshot

Matt Masten

I'm an econometrician working on identification and causal inference.
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