Essential Causal Inference Techniques for Data Science
Completed by Alexander Segal
March 10, 2026
2 hours (approximately)
Alexander Segal's account is verified. Coursera certifies their successful completion of Essential Causal Inference Techniques for Data Science
What you will learn
Learn the limitations of AB testing and why causal inference techniques can be powerful.
Understand the intuition behind and how to implement the four main causal inference techniques in R.
Explore newer methods at the intersection of causal inference and machine learning and implement them in R.
Skills you will gain
- Category: Statistical Machine Learning
- Category: Statistical Methods
- Category: Statistical Inference
- Category: Machine Learning
- Category: Data Analysis
- Category: R (Software)
- Category: Applied Machine Learning
- Category: Data-Driven Decision-Making
- Category: Regression Analysis
- Category: Data Science
- Category: R Programming
