Essential Causal Inference Techniques for Data Science
Completed by Shahad Al Siyabi
March 7, 2026
2 hours (approximately)
Shahad Al Siyabi'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: Regression Analysis
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Statistical Methods
- Category: Data Science
- Category: R Programming
- Category: Statistical Programming
- Category: R (Software)
- Category: Data-Driven Decision-Making
- Category: Statistical Machine Learning
- Category: Statistical Inference
- Category: Machine Learning
