Concept A3.3
Durable Skills

Dynamic inferences

Recognize that inferences from data are dynamic, evolving with new data and additional analysis.

K–2 Competencies

Utilize a single set of data to generate multiple inferences for various inquiries.

K-2.A.3.3a

Classroom resources

Classroom Tip
Getting Started

Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities

Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗

Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.

3–5 Competencies

Explain how inferences shift as new data emerges during an investigation.

3-5.A.3.3a

Classroom resources

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Getting Started
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Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities

Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗

Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.

6–8 Competencies

Revise initial conclusions when new data emerges and use evidence to support claims.

6-8.A.3.3a

Classroom resources

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Getting Started
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Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities

Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗

Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.

9–10 Competencies

Use digital tools to test and refine inferences from large or complex datasets.

9-10.A.3.3a

Classroom resources

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Getting Started
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Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities

Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗

Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.

11–12 Competencies

Critically evaluate and update inferences as data scales or methods advance.

11-12.A.3.3a

Classroom resources

Classroom Tip
Getting Started
Thank you for your feedback.
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Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities

Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗

Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.

Classroom resources

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