AI Courses · Course 7 of 8
Human + AI: Data Analysis & Verification
Turn messy data into clear insights: clean it, question it, visualize it — and verify every number before presenting.
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Course Overview Video
The Scenario
An AI-built sales chart convinces a manager to double an inventory order — but the AI averaged the wrong column. Learners catch the error before money is spent.
Learning Objectives
- Clean and structure messy data with AI
- Ask sharp questions of data
- Generate spreadsheet formulas from plain language
- Choose the right visualization
- Verify every AI calculation before presenting it
Module Sequence
- AI as data assistant
- Cleaning: garbage in, garbage out
- Asking questions of data
- Formulas in plain language
- Visualizing results
- Verification: show your work
Assessment
Audit an AI-analyzed dataset: find the formula error, correct it, present the fixed chart.
The Human + AI Framework
Human asks, AI computes, human verifies, human presents. Unverified numbers never leave the room.
Direct it. Check it. Question it. Decide.
National Standards Alignment
| Framework | Alignment |
|---|---|
| Career Cluster | Information Technology (National Career Clusters Framework, Advance CTE) |
| Career Ready Practices | CRP-8 Utilize critical thinking — verify every AI-generated analysis; CRP-7 Employ valid and reliable research strategies — check data sources and methods |
| AI4K12 Big Ideas | Representation & Reasoning — datasets and models as representations to interrogate; Learning — how analytic models learn — and mislearn — from data |
National framework names verified September 25, 2026 against the Advance CTE National Career Clusters Framework, the Common Career Technical Core Career Ready Practices, and the AI4K12 Five Big Ideas (AAAI/CSTA). No codes were invented.