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Welcome
Solving Problems with Data
Stakeholder Management & Solving the Right Problem
What
is
Data Science: An Historical Perspective
Types of Questions
Descriptive v. Prescriptive Questions
The Scourge of "EDA"
Using Exploratory Questions
Answering Exploratory Questions
Internal versus External Validity
Using Passive Prediction Questions
Answering Passive Prediction Questions
Using Causal Questions
Answering Causal Questions
Causal Inference
The Potential Outcomes Framework
Indicator Variables
Causal Beyond Experiments
Fixed Effects
Implementing Fixed Effects
Fixed Effects v. Hierarchical Models
Matching
How to Match
Data Science in Practice
Backwards Design
Making Decisions Using Data
Writing to Stakeholders
Advanced Topics
Interpretable Models
Repository
Open issue
Index