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Correlation versus Causation
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Analysis & Modeling Techniques
Models of Data
Substrand C5

Models of Data

Interpreting, creating, and using models is a central component of working with data. Models are both a way to analyze data and a source of data.

Substrand C5

Models of Data

Interpreting, creating, and using models is a central component of working with data. Models are both a way to analyze data and a source of data.

Concept C5.1
Concept C5.1

Understanding modeling

Analyze patterns and relationships in data using graphs, tables, and models. Explore tools like decision trees and neural networks, assess assumptions, and distinguish correlation from causation in real-world contexts.

AI Literacy
Concept C5.1
Concept C5.1

Understanding modeling

Analyze patterns and relationships in data using graphs, tables, and models. Explore tools like decision trees and neural networks, assess assumptions, and distinguish correlation from causation in real-world contexts.

AI Literacy
Concept C5.2
Concept C5.2

Creating models

Develop an understanding of patterns and relationships. Use data and technology to build and refine models. Advance these skills by constructing complex models that incorporate multiple variables, assess assumptions, and improve predictions.

AI Literacy
Concept C5.2
Concept C5.2

Creating models

Develop an understanding of patterns and relationships. Use data and technology to build and refine models. Advance these skills by constructing complex models that incorporate multiple variables, assess assumptions, and improve predictions.

AI Literacy

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Coalition organizers