Essential Causal Inference Techniques for Data Science

Instructor: Vinod Bakthavachalam

What you'll 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'll practice

  •   Applied Machine Learning
  •   R Programming
  •   Data Analysis
  •   Statistical Methods
  •   Machine Learning
  •   Statistical Machine Learning
  •   Advanced Analytics
  •   Data Science
  •   Statistical Inference
  •   Data-Driven Decision-Making
  •   Regression Analysis
  •   Predictive Modeling
  •   Classification And Regression Tree (CART)
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