Data provides partial information
Recognize that data captures certain aspects of a model of a target phenomenon or set of objects in the world but does not represent it completely.
K–2 Competencies
Understand that data can show some things but not others. e.g., categorizing the colors worn in a kindergarten class does not indicate the clothing item or size
Classroom resources
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
Select variables of interest for data investigations while recognizing those selections will retain inherent limits.
Classroom resources
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
Specify ways that data provide incomplete information relative to the object being studied.
Approach data and evidence-based claims with reasonable skepticism and apply the process of evaluating the validity of claims while remaining open-minded.
Classroom resources
The Scrunchie Activity by DataClassroom
The purpose of this lesson is to introduce students to fundamental data science concepts through hands-on collection and visualization of personally meaningful data. Students will identify categorical variables in everyday objects, organize data into tidy format, and create multiple visualizations to answer questions about their own collections, building foundational skills for digital data analysis.
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
Evaluate claims derived from data by questioning how phenomena are measured, categorized, or represented.
Classroom resources
Witches, Spiders, and Stranger Things in Data by DataClassroom
The purpose of this lesson is to help students make sense of data trends by analyzing Google search patterns for popular Halloween costumes. Students will interpret graphs to understand why certain costume searches spike around Halloween and other times, using data to predict future trends and make business recommendations.
The Taylor Swift Effect by DataClassroom
The purpose of this lesson is to help students investigate whether correlations exist between celebrity presence and athletic performance using real sports data. Students will analyze Kansas City Chiefs game statistics to determine if Taylor Swift's attendance impacts team and individual player performance, while learning about correlation vs. causation and the limitations of observational data.
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
Design and compare alternative data representations, justifying choices to address inherent uncertainty.
Classroom resources
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.
Advanced Competencies
Classroom resources
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