Essential Causal Inference Techniques for Data Science
Completed by Anh Tran
October 18, 2024
2 hours (approximately)
Anh Tran'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: Statistical Machine Learning
- Category: Statistical Inference
- Category: Data-Driven Decision-Making
- Category: Statistical Methods
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Machine Learning
- Category: R (Software)
- Category: Data Science
- Category: R Programming
- Category: Statistical Programming
