Essential Causal Inference Techniques for Data Science
Completed by Ashwin TK
February 2, 2022
2 hours (approximately)
Ashwin TK'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-Driven Decision-Making
- Category: Statistical Inference
- Category: R (Software)
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Statistical Methods
- Category: Machine Learning
- Category: Regression Analysis
- Category: Statistical Machine Learning
- Category: Data Science
- Category: R Programming
- Category: Statistical Programming
