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Unifying Data Science
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Unifying Data Science
CLASS SCHEDULE
Causal Inference
Limitations of ATE
Internal v. External Validity
Evaluating A Real Study
Beyond AB Testing
Matching (Why)
Matching (How)
Indicator Variables
Fixed Effects (FEs)
FEs & Causality
FEs & Hierarchical Models
Data Science Project Design
Backwards Design
Taxonomy of Questions
From Problems to Questions
Discretion and Description
Ethical Machine Learning
Writing for Lay Audiences
Index