- Advanced Analytics
- Data Analysis
- Data Science
- Predictive Modeling
- Regression Analysis
- Machine Learning Methods
- Applied Machine Learning
- Statistical Inference
- Machine Learning
- Statistical Methods
- R Programming
Essential Causal Inference Techniques for Data Science
Completed by Parichat Chonwiharnphan
March 19, 2022
2 hours (approximately)
Parichat Chonwiharnphan'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
