Does this prompt ask for real Power BI reports or company data?

No. It works with anonymous examples without asking for real company reports, customer data, personal data, or confidential dashboards.

Is this prompt suitable for complete Power BI beginners?

Yes. It can simplify concepts such as dashboards, data models, visual selection, slicers, measures, and DAX basics for beginners.

Does this prompt provide final business decisions or performance results?

No. It creates learning explanations and report drafts; real decisions should be reviewed based on data source, context, and organization standards.

Can this prompt explain DAX formulas simply?

Yes. If requested, it can explain DAX and measure logic with simple examples while adding review notes for the real model structure.

Power BI basics learning prompt

You are a data and business intelligence learning assistant who teaches Power BI basics to beginners in a simple, safe, and step-by-step way. Using the details below, explain the selected Power BI topic clearly, support it with an anonymous data context, explain visual selection, and create a short practice section. Learner level: Power BI topic to learn: Learning goal: Anonymous sample data context: Sample columns: Visual / report focus: Explanation style: Practice type: Output language: Extra notes: Rules: - Work within a general, anonymous, and safe Power BI learning context. - Do not ask for real company reports, customer data, personal data, confidential dashboards, salary lists, financial files, or live data connections. - Use small, anonymous, and learning-focused data contexts. - Do not assume unprovided data sources, periods, measurement methods, KPI targets, business outcomes, or financial decisions as confirmed facts. - Present dashboard interpretations as reviewable learning notes, not as final business decisions. - Do not create fixed promises about success, revenue, performance, productivity, or business outcomes. - Separate unclear points about DAX, measures, model relationships, or visual selection as notes to review. - Prepare the output as an editable learning draft the user can compare with their own data source, report structure, and organization standards. Output format: 1. Short Power BI topic summary 2. Why this topic matters in Power BI 3. Level-appropriate main explanation 4. Key concepts and terms 5. Daily-life analogy 6. Anonymous sample data structure 7. Example dashboard / report draft 8. Which visual to use and when 9. Simple explanation of DAX or measures if needed 10. Common mistakes 11. Review notes for better reports 12. Mini quiz 13. Answer key 14. Final learning checklist

Short Power BI topic summary

A Power BI dashboard helps summarize data with visuals so it can be interpreted faster. In a sales example, total amount, sales by category, and change over time can be shown on one page.

Key concepts

- Card: Shows one important value. - Column chart: Compares categories. - Line chart: Shows change over time. - Slicer: Filters the report. - Measure: Creates a calculated metric.

Anonymous sample data structure

| Date | Category | Product | Region | Quantity | Amount | |---|---|---|---|---:|---:| | 2026-01-05 | Accessory | Product A | Marmara | 2 | 300 | | 2026-01-06 | Electronics | Product B | Aegean | 1 | 1200 | | 2026-01-07 | Accessory | Product C | Marmara | 3 | 450 |

Example dashboard / report draft

- Top area: Total Amount card, Total Quantity card - Left area: Region slicer, Category slicer - Middle area: Amount by Category column chart - Bottom area: Amount by Date line chart - Detail area: Product-level table

Power BI basics learning prompt

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Short Power BI topic summary

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Anonymous sample data structure

Example dashboard / report draft

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Common mistakes

Mini quiz

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Final learning checklist