Free
CourseLearn the Basics of Causal Inference with R
Learn how to use causal inference to figure out how different variables influence your results.
This course includes
This course includes
Skill level
IntermediateTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary5 hoursProjects
3Prerequisites
1 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
Discover the principles of causation and causal inference in this Linear Regression in R course. Learn foundational concepts and advanced techniques like matching, weighting, and difference-in-differences to explore why things happen. Develop skills to isolate variables, work with complex datasets, and interpret your analysis effectively.
Skills you'll gain
Understanding causal inference
Applying linear regression techniques
Analyzing relationships in datasets
Isolating variables for deeper insights
Syllabus
5 lessons • 3 projects • 4 quizzesCertificate of completion available with Plus or Pro
Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
Projects in this course
- practice Project
Impact of Cover Crops on Wheat Crop Yields
In this project, you will use inverse probability of treatment weighting (IPTW) to estimate the causal effect of cover crop usage on wheat crop yields. - practice Project
Effect of Emergency Weather Systems on Transit Times
Apply regression discontinuity design (RDD) to estimate the causal effect of a snow emergency system on average commuting time in a fictitious city. - practice Project
Enhanced Recovery After Surgery
Analyze the effect of a surgical recovery plan on patient outcomes using the Difference in Differences (DID) technique in R.
Meet the creator of the course
Andrea Hassler
Andrea has a Master's in Applied Statistics from NYU and a Bachelor's in Psychology from SUNY New Paltz. She has worked with students individually as a tutor for many years. She has also contributed to research projects in the health sciences as a statistical consultant and research assistant.Earn a certificate of completion
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Related courses and paths
- Free course
Potential Outcomes Framework for Causal Inference
Use the Potential Outcomes Framework to estimate what we cannot measure.Advanced1 hour - Free course
Matching and Weighting Methods for Causal Inference
Use matching, weighting, propensity scores, and stratification to prepare data for causal analysis.Advanced2 hours - Free course
Difference in Differences for Causal Inference
Learn how to use the difference in differences method to estimate effects by analyzing trends over time.Advanced1 hour
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Unlock additional features with a paid plan
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.