Understanding modeling
Analyze patterns and relationships in data using graphs, tables, and models. Explore tools like decision trees and neural networks, assess assumptions, and distinguish correlation from causation in real-world contexts.
K–2 Competencies
Understand that objects can be grouped based on similar characteristics. e.g., "all blue items go here," "this group has ground shapes"
Recognize that criteria for sorting objects helps to organize them and identify patterns. e.g., grouping buttons by shape reveals which shapes are most common
Predict whether an object belongs to a group or category based on its characteristics.
Classroom resources
Data Science Starter Kit Module 3: Making Sense of Data - Analysis and Modeling
Welcome to the exciting part of data science—making sense of the information you’ve collected! This module focuses on how to analyze data to find patterns, understand what the numbers really mean, and start drawing conclusions.🔗
Analysis and Modeling isn’t about complex mathematics or advanced statistics. It’s about developing the thinking skills to look at data and ask, “What story is this telling me? What patterns do I notice? What questions does this raise?” Whether students are working with simple tally marks or sophisticated datasets, the fundamental thinking is the same.
3–5 Competencies
Understand that grouping objects by shared characteristics creates rules that can be used to classify and categorize new objects.
Recognize that patterns and relationships in data provide different kinds of information.
Discuss how data relationships help describe real-world phenomena. e.g., taller plants tend to be older
Classroom resources
Data Science Starter Kit Module 3: Making Sense of Data - Analysis and Modeling
Welcome to the exciting part of data science—making sense of the information you’ve collected! This module focuses on how to analyze data to find patterns, understand what the numbers really mean, and start drawing conclusions.🔗
Analysis and Modeling isn’t about complex mathematics or advanced statistics. It’s about developing the thinking skills to look at data and ask, “What story is this telling me? What patterns do I notice? What questions does this raise?” Whether students are working with simple tally marks or sophisticated datasets, the fundamental thinking is the same.
6–8 Competencies
Explore how relationships in data connect characteristics, including patterns like increasing, decreasing, or no connection.
Recognize that models simplify complex systems and have limitations.
Recognize that relationships in data do not always imply causation. e.g., ice cream sales and shark attacks both increase in the summer, but one doesn't cause the other
Classroom resources
Data Science Starter Kit Module 3: Making Sense of Data - Analysis and Modeling
Welcome to the exciting part of data science—making sense of the information you’ve collected! This module focuses on how to analyze data to find patterns, understand what the numbers really mean, and start drawing conclusions.🔗
Analysis and Modeling isn’t about complex mathematics or advanced statistics. It’s about developing the thinking skills to look at data and ask, “What story is this telling me? What patterns do I notice? What questions does this raise?” Whether students are working with simple tally marks or sophisticated datasets, the fundamental thinking is the same.
9–10 Competencies
Recognize that bivariate relationships between numerical features can be examined using both linear and non-linear associations.
Investigate real-world examples where correlation does not imply causation.
Classroom resources
Data Science Starter Kit Module 3: Making Sense of Data - Analysis and Modeling
Welcome to the exciting part of data science—making sense of the information you’ve collected! This module focuses on how to analyze data to find patterns, understand what the numbers really mean, and start drawing conclusions.🔗
Analysis and Modeling isn’t about complex mathematics or advanced statistics. It’s about developing the thinking skills to look at data and ask, “What story is this telling me? What patterns do I notice? What questions does this raise?” Whether students are working with simple tally marks or sophisticated datasets, the fundamental thinking is the same.
11–12 Competencies
Discern that different models, such as decision trees and neural networks, analyze patterns and relationships in data to make predictions.
Assess relationships in the context of uncertainty, bias, and reliability of the data.
Investigate how assumptions and bias influence a model's results.
Classroom resources
Data Science Starter Kit Module 3: Making Sense of Data - Analysis and Modeling
Welcome to the exciting part of data science—making sense of the information you’ve collected! This module focuses on how to analyze data to find patterns, understand what the numbers really mean, and start drawing conclusions.🔗
Analysis and Modeling isn’t about complex mathematics or advanced statistics. It’s about developing the thinking skills to look at data and ask, “What story is this telling me? What patterns do I notice? What questions does this raise?” Whether students are working with simple tally marks or sophisticated datasets, the fundamental thinking is the same.
Advanced Competencies
Classroom resources
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