Concept B.4.4
AI Literacy

Complexity of structure

Manipulate and combine data in increasingly complex ways to reveal new insights and patterns.

K–2 Competencies

Work with datasets already formatted into structure necessary for analysis.

K-2.B.4.4a

Create new categories from existing data through basic grouping rules.

K-2.B.4.4b

Classroom resources

Classroom Tip
Getting Started

Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation

Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗

Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.

3–5 Competencies

Combine information from two simple datasets about the same objects or events.

3-5.B.4.4a

Create new variables through simple calculations or combinations of existing data.

3-5.B.4.4b

Convert data between different basic formats (e.g., from tally marks to numbers).

3-5.B.4.4c

Classroom resources

Classroom Tip
Getting Started
Thank you for your feedback.
Write more feedback

Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation

Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗

Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.

6–8 Competencies

Work with datasets where the row isn't a single observation but something more complex (e.g., average, nested cases).

6-8.B.4.4a

Work with datasets that include derived or transformed variables, including creating categorical variables from numerical data.

6-8.B.4.4b

Understand how categorical variables can be used to create meaningful subsets.

6-8.B.4.4c

Classroom resources

Classroom Tip
Getting Started
Thank you for your feedback.
Write more feedback

Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation

Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗

Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.

9–10 Competencies

Merge multiple datasets while maintaining appropriate observation structure.

9-10.B.4.4a

Transform complex variables into more interpretable forms using student-relatable benchmarks.

9-10.B.4.4b

Classroom resources

Classroom Tip
Getting Started
Thank you for your feedback.
Write more feedback

Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation

Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗

Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.

11–12 Competencies

Design and implement data structures that can accommodate longitudinal data and multiple levels of aggregation.

11-12.B.4.4a

Handle data aggregation across different observation structures and time scales.

11-12.B.4.4b

Create flexible organizational systems that can handle both structured and unstructured data sources.

11-12.B.4.4c

Develop documentation systems for complex data structures that track relationships and dependencies between variables.

11-12.B.4.4d

Classroom resources

Classroom Tip
Getting Started
Thank you for your feedback.
Write more feedback

Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation

Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗

Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.

Classroom resources

Support other teachers by sharing a resource

Do you have a lesson plan, video, or tip that could help others teaching this topic?

Developed by our coalition

Coalition organizers

Share feedback on the Learning Progressions

Your feedback helps us improve these progressions for teachers around the world. Thank you!

Thank you! We’ve received your submission.
Oops! Something went wrong while submitting the form.

Share feedback on the Learning Progressions

Your feedback helps us improve these progressions for teachers around the world. Thank you!

Thank you! We’ve received your submission.
Oops! Something went wrong while submitting the form.

Share a classroom resource

Suggesting a resource helps students around the world learn essential data science skills.

Thank you! We’ve received your submission.
Oops! Something went wrong while submitting the form.