Free
CourseRegression Discontinuity Design and Instrumental Variables
Mimic experiments with the data you already have and measure the effects of treatment even with incomplete data.
Skill level
AdvancedTime to complete
Approx. 2 hoursCertificate of completion
Included with paid plansPrerequisites
None
About this course
A goal of many analytics projects is to answer “how much did factor x affect the outcome?”, otherwise known as the treatment effect. But it can be very hard to do that with real data because it’s often incomplete. This course will introduce you to two techniques to fix that problem: Regression Discontinuity Design and Instrumental Variables.
Syllabus
Regression Discontinuity Design and Instrumental Variables
Learn about regression discontinuity design and instrumental variables for causal inference.
The platform
Hands-on learning
Don’t just watch or read about someone else coding — write your own code live in our online, interactive platform. You’ll even get AI-driven recommendations on what you need to review to help keep you on track.
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Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.
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