Essential Causal Inference Techniques for Data Science
Completed by Arnaud Eymin
May 23, 2024
2 hours (approximately)
Arnaud Eymin'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: Machine Learning Methods
- Category: Statistical Methods
- Category: Applied Machine Learning
- Category: Data-Driven Decision-Making
- Category: R (Software)
- Category: Statistical Machine Learning
- Category: R Programming
- Category: Data Science
- Category: Regression Analysis
- Category: Statistical Programming
- Category: Machine Learning
- Category: Statistical Inference
