DSA ADS Course - 2021
Causal Inference, Data-fusion, Causal Analysis, Causal Data Science, Counterfactuals, Selection Bias
Discuss concepts and techniques of different approaches to causal analysis, the curse of big data, data fusion and bias challenges. Discuss biases such as: confounding, sampling selection, and cross-population biases, along with a general, potential mitigation nonparametric framework for handling biases.
Discuss appropriate use of counterfactuals in causal analysis and risk of reasonable inference vs. unreasonable inference.