Cleanliness
Work with datasets at increasing levels of cleanliness and identify how datasets need to be curated to address messiness issues.
K–2 Competencies
Work with datasets that are relatively clean (e.g., don't have missing data or errors).
Classroom resources
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
Work with datasets that require some cleaning (e.g., resolution of missing data or blank cells).
Verify data by comparing recorded values to original sources when possible.
Classroom resources
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
Identify and handle missing values marked by special codes (-99) or blank cells.
Distinguish between true zero values and blank cells.
Classroom resources
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
Work with datasets requiring multiple types of cleaning such as missing values, errors, and anomalies.
Clean and prepare datasets before merging multiple sources.
Classroom resources
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
Apply advanced data cleaning techniques to handle complex data quality issues such as outliers, inconsistencies, and systematic errors.
Develop and document reproducible data cleaning workflows that maintain data integrity.
Evaluate and validate cleaned datasets using statistical methods and domain knowledge.
Classroom resources
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.
Advanced Competencies
Classroom resources
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