Youth STEAM Pathway

AI & Data Literacy

Pattern recognition, questions from data, dashboards, basic automation, and community-data storytelling — building the analytical thinking employers rank as the #1 skill.

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AI and data visualization
Why This Pathway

Analytical thinking is the most sought-after skill

The World Economic Forum's Future of Jobs 2025 ranks analytical thinking as the #1 core skill employers need. Computer and information research scientists are projected to grow 20% through 2034 per BLS.

  • Data storytelling — turn raw numbers into community-relevant narratives and dashboards
  • Pattern recognition — identify trends, outliers, and signals in real datasets
  • Automation basics — build simple workflows that save time and reduce errors
  • AI-enabled tasks — understand how AI tools augment human decision-making
Student data project
Grade-Band Progression

A developmental arc from curiosity to capstone

Grades 3–5
Explore

Charts, simple graphs, counting patterns, data from their own community. Storytelling with numbers and colorful dashboards.

Grades 6–8
Build

Spreadsheets, survey design, basic statistics, introduction to datasets. First structured data projects with peer review.

Grades 9–10
Apply

Dashboards, Python basics, data cleaning, visualization tools. Projects connected to real civic and workforce contexts.

Grades 11–12
Transition

Machine learning concepts, AI ethics, capstone data projects, portfolio preparation, and dual-enrollment or internship pathways.

Tools & Platforms

What participants learn with

Google SheetsPythonTableau PublicJupyter NotebooksScratchGoogle ColabPower BIChatGPT / AI Assistants

Explore all five STEAM pathways

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