Time to completeApprox. 7 hours
Certificate of completionIncluded with paid plans
Prerequisites1 courseWe suggest you complete the following courses before you get started with Learn the Basics of Causal Inference with R:
- R for Programmers
About this course
You hear it all the time: “correlation is not causation.” By taking this course, you’ll find out what causation really is. Find out why things happen using causal methods, such as matching and weighting, instrumental variables, and difference in differences.
Syllabus5 lessons • 3 projects • 4 quizzes
Hands-on learningDon’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.
Projects in this course
Impact of Cover Crops on Wheat Crop YieldsIn this project, you will use inverse probability of treatment weighting (IPTW) to estimate the causal effect of cover crop usage on wheat crop yields.
Effect of Emergency Weather Systems on Transit TimesApply regression discontinuity design (RDD) to estimate the causal effect of a snow emergency system on average commuting time in a fictitious city.
Enhanced Recovery After SurgeryAnalyze the effect of a surgical recovery plan on patient outcomes using the Difference in Differences (DID) technique in R.
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- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA