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Frame and Safeguard Your Analysis
Turn a broad spreadsheet request into a clear, protected analysis task before AI touches the raw data.
StartStart here
Turn a broad spreadsheet request into a clear, protected analysis task before AI touches the raw data.
StartChoosing which workshops to schedule next can look like a simple ranking exercise. In practice, attendance labels may be inconsistent, repeated IDs may not be true duplicate rows, missing ratings may be valid, and the workbook may not contain every cost needed for a final decision. A neat total is not automatically trustworthy evidence.
In this Course, you use AI to prepare a checked priority recommendation from a Course-supplied Q1 workshop workbook. The manager wants to know which two workshop types deserve a next-quarter scheduling discussion. All practice records and values are synthetic. AI helps inspect, clean, compare, and document the workbook; you decide the question, approve treatments, test decisive numbers, interpret uncertainty, and leave the final scheduling decision with the manager.
Across six Lessons, you will:
The final result is an editable eight-sheet .xlsx workbook with unchanged sources, cleaned data, a comparison, visible checks, an issue log, and a decision summary. It is marked ready for manager review. It is not an approved schedule, a profit report, a forecast, or a claim that every source problem has been corrected.
You do not need to be a data analyst, write code, build PivotTables, or reproduce long formulas. You should already understand ordinary rows and columns and be able to open an Excel workbook. This Course focuses on completing the workshop-prioritization task responsibly rather than teaching a catalog of unrelated Excel features.