An AI assistant can help draft analysis, but its output must be checked against the data and business definitions. Protect confidential information and keep a reproducible method.
Before you begin
Use fictional or properly licensed data with a documented question, units and column definitions.
Work through the idea
State the decision or learning question first. Keep raw inputs separate from derived tables and document filters, exclusions and calculations. Check at least one result manually and record a limitation. Communicate what the evidence supports without inventing business outcomes or exposing personal information.
- Use an authorized dataset
- Verify generated calculations
- Record assumptions and human corrections
Practice task
Ask for a summary of a fictional table and independently recalculate its claims.
Check your result
Identify any unsupported statement and show the corrected calculation.
A mistake to avoid
Do not paste private records into an unapproved tool or trust a plausible narrative without checking totals.
Keep a review note
Save the inputs or scenario, your reasoning and the result you checked. Explain one assumption and one case that needs more work. Revise the exercise after feedback and distinguish what you demonstrated from what remains untested.
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