Understanding the World with Data

Concept Acquisition

1. The Data Science lifecycle represents the iterative process by which models questions, claims, data, and understanding inform one other.
2. The formulation of an empirical question informs the data that bears upon it.
3. The properties of the data determine the claims that it can support.
4. Common claims made with data include summaries, predictions, generalizations, and causal claims.

Tool Acquisition

1. Practice using the polling platform
2. Practice using the discussion platform

Concept Application

1. Identify data sets that will help answer a particular empirical question.
2. Classify a claim as a summary, prediction, generalization, or causal claim.
3. Formulate a claim that is supported by a particular data set.