Build real data literacy across science, math, and CS—without heavy prep. This bundle gives you ready-to-use labs and mini-projects where students analyze real datasets, justify claims with evidence (CER), and visualize results in Google Sheets or Google Colab (Python). Perfect for inquiry days, sub plans, review weeks, or project blocks.

What’s inside

• Climate Evidence Labs (Stations): authentic climate datasets; students evaluate trends and support CER conclusions.
  
• Sports Analytics Labs (Correlation/Regression): investigate player/team performance using scatterplots, r, and linear models.
  
• Genetics & Chi-Square Mini-Labs: model inheritance and use χ² to test goodness-of-fit; critical values + p-value workflow.
  
• Python Data-Viz Crash Kit (Colab/Sheets): beginner-friendly notebooks + Sheets options to build graphs quickly (histograms, scatter, bar).
  

Why it works

• One throughline: collect → analyze → conclude (CER)
  
• Flexible tech: no-Python option via Sheets
  
• Low materials, high thinking; standards-aligned (NGSS practices + HS statistics)
  

Formats: PDF, Google Sheets, Google Colab links
Time: Each activity ~30–60 minutes (easily extendable)
Assessment: CER frames, data tables, rubrics/checklists

Subject Areas

• Science (Earth & Environmental, Biology, General Science)
  
• Math (Statistics, Algebra)
  
• Computer Science (Data Science / Coding)