AI Foundations & Applications
AI for Data Cleaning & Spreadsheet Support
Clean and organize spreadsheet data, catch errors, test AI-suggested formulas, and keep human judgment in charge.
Standard version
Showing the standard description, objectives, and outcomes. Switch to Federal for the version tailored to federal agencies.
In this facilitator-led workshop, participants work through a realistic scenario using sample spreadsheet data. The facilitator uses AI as a demonstration and discussion tool while participants question its reasoning and decide what the evidence supports. The workshop covers the full process, from organizing and cleaning data to checking formulas, analyzing results, and sharing findings. Individual access to an AI tool is not required.
What you'll learn
- Identify useful ways to group, sort, and scan spreadsheet data before analysis.
- Spot missing, inconsistent, impossible, or unusual values.
- Evaluate AI-generated outputs and AI-suggested formulas using clear rules and test cases.
- Interpret pivot-table results and choose charts that represent the data accurately.
- Identify information that should not be entered into an AI tool.
What you'll be able to do
- Clean and organize spreadsheet data with greater confidence.
- Catch data errors before they affect decisions.
- Test formulas before trusting them.
- Explain findings, limitations, and open questions clearly.
- Keep human judgment in charge of AI-supported analysis.
This facilitator-led workshop is designed for agencies where individual AI access is limited or still being approved. Participants work through a realistic staffing scenario using sample data while the facilitator demonstrates AI and the group questions its reasoning. The workshop covers organizing and cleaning data, checking formulas, analyzing results, and sharing findings, with a strong focus on protecting sensitive information and keeping human judgment in charge.
What you'll learn
- Identify useful ways to group, sort, and scan spreadsheet data before analysis.
- Spot missing, inconsistent, impossible, or unusual values.
- Evaluate AI-generated outputs and AI-suggested formulas using clear rules and test cases.
- Interpret pivot-table results and choose charts that represent the data accurately.
- Identify information that should not be entered into an AI tool and apply the approved-environment rule.
What you'll be able to do
- Clean and organize spreadsheet data with greater confidence.
- Catch data errors before they reach leadership.
- Test formulas before trusting them.
- Explain findings, limitations, and confidence levels clearly.
- Protect sensitive information when working with AI.