Essential Causal Inference Techniques for Data Science
Completed by Ajay Natarajan
February 12, 2024
2 hours (approximately)
Ajay Natarajan'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: Data Science
- Category: R Programming
- Category: Data Analysis
- Category: R (Software)
- Category: Statistical Inference
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Data-Driven Decision-Making
- Category: Regression Analysis
- Category: Statistical Machine Learning
- Category: Statistical Methods
