- Machine Learning
- Machine Learning Methods
- Regression Analysis
- Data Science
- Advanced Analytics
- Data Analysis
- Statistical Inference
- Applied Machine Learning
- Statistical Methods
- Predictive Modeling
- R Programming
Essential Causal Inference Techniques for Data Science
Completed by Rashmi Umalkar
March 11, 2021
2 hours (approximately)
Rashmi Umalkar'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
