Choosing 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:

• protect the source workbook and define what the recommendation may and may not claim;
• inspect the records for repeated IDs, valid blanks, inconsistent labels, and unsupported values;
• create cleaned evidence without erasing raw values or guessing repairs;
• compare workshop types through capacity use, session contribution, and ratings that account for response counts;
• trace decisive counts, totals, and averages back to the rows included;
• write a conditional recommendation that separates results, interpretation, limits, and next actions; and
• review an independent audit of formulas, preserved sources, the visible workbook, and the exported file, then repeat one decisive check before handoff.

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.

This Course focuses on completing the workshop-prioritization task responsibly rather than teaching a catalog of unrelated Excel features.

Frequently asked questions

Do I need advanced Excel or data-analysis skills?

No. You should be able to open an .xlsx workbook and understand ordinary rows and columns, but you do not need to write code, build PivotTables, or reproduce long formulas. The Course focuses on checking AI-assisted work, not memorizing spreadsheet techniques.

Do I need to upload my own workbook?

No. The Course supplies one synthetic Q1 workshop workbook so every learner can inspect the same evidence. Before using the method with a real workbook, you remain responsible for checking sensitive content, sharing permission, and whether the chosen AI service is approved for that material.