Causal Data Science

Data scientists are often asked causal questions, like "what would happen if we did X?", but are often can't run experiments to answer them. There's a mature literature on methods for causal inference, but it takes a big time investment to develop the skills to understand the methods and pitfalls. Ill argue for the need to invest this time, and give a quick overview of methods and tools, including my causality python package.

Speakers