Variability of data
Recognize that variability is a foundational component of data.
K–2 Competencies
Observe that data can have many different answers or results.
Classroom resources
All About Our Class Activity
Students become data scientists by collecting information about their classmates and creating visual representations to learn about their classroom community.
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
Multiple conclusions can be drawn from the same set of data.
Recognize that variability of data contributes to uncertainty. e.g., measuring plant growth daily shows natural variation which makes predicting exact height for the next day difficult
Classroom resources
All About Our Class Activity
Students become data scientists by collecting information about their classmates and creating visual representations to learn about their classroom community.
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
Make sense of the variability of data through an iterative process of refinement by questioning.
Classroom resources
Backpack Investigation Activity
Students investigate the weight and contents of their backpacks using data collection, analysis, and health recommendations to make evidence-based conclusions about student wellness.
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
Recognize the different types of variability (e.g., natural, measurement, sampling).
Classroom resources
School Schedule Analytics Activity
Students analyze real school data to understand enrollment patterns, resource allocation, and administrative decision-making while applying statistical analysis and data visualization techniques used in professional settings.
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
Explore different types of variability for making inferences (e.g., confidence intervals, various tests, classification models).
Classroom resources
School Schedule Analytics Activity
Students analyze real school data to understand enrollment patterns, resource allocation, and administrative decision-making while applying statistical analysis and data visualization techniques used in professional settings.
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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