Prompt-Based Analytics and Reports for Business

Turn spreadsheet data into checked summaries, KPI reports and executive briefings with AI, and verify every number before you share it.

This course provides a structured and practical introduction to prompt-based AI tools for business analytics and reporting. Learners will understand how to design effective analytical prompts, apply AI tools to analyze business data, and generate clear and meaningful reports.

$29 · one-time payment · lifetime access · certificate of completion

What's inside

6 modules · 22 lessons

Who it is for

  • Analysts and operations staff who report on business data
  • Managers who write weekly KPI summaries
  • Finance, sales and marketing staff who work in spreadsheets
  • Anyone who must brief leaders on numbers

What you will produce

  • An analysis prompt starter kit
  • A data-cleaning prompt kit
  • A weekly KPI summary and an executive summary
  • An analysis review checklist and guideline
  • A 90-day analytics adoption plan

A worked example

The task

Write a weekly KPI summary from two weeks of figures (example for a fictional organization, for illustration)

What you start with

Act as a business analyst writing for senior leaders. Context: Use only the figures below, week ending 14 June and week ending 21 June 2026 (practice data from the course). Task: Write the weekly KPI summary. Format: Headline (one sentence), a table of KPIs with change in value and percent, three things that went well or badly, one question for leaders. Limits: Do not add figures. For any reason you cannot support with the data, write [REASON NEEDED]. Under 200 words. Figures: Week_Ending,Orders,Revenue_USD,Avg_Order_Value_USD,Return_Rate_Pct,Avg_Rating,Support_Tickets 2026-06-14,262,16820,64.20,7.6,4.3,48 2026-06-21,248,15940,64.27,9.2,4.2,61

What you get

Headline: Revenue fell 5.2% week on week, while returns and support tickets rose. KPI | 14 Jun | 21 Jun | Change Orders | 262 | 248 | -5.3% Revenue | $16,820 | $15,940 | -5.2% Avg order value | $64.20 | $64.27 | +0.1% Return rate | 7.6% | 9.2% | +1.6 points Avg rating | 4.3 | 4.2 | -0.1 Support tickets | 48 | 61 | +27.1% What went badly - Orders and revenue both fell by about 5%. [REASON NEEDED] - Return rate rose from 7.6% to 9.2% and support tickets rose 27.1%. [REASON NEEDED] What went well - Average order value was roughly flat (+0.1%). Question for leaders: should we investigate the rise in returns and support tickets this week?

What you check or change by hand before using it

- Recalculate at least three of the changes yourself (for example 15,940 against 16,820 is -5.2%) - Resolve each [REASON NEEDED] with a real reason, or leave it flagged - Check that no figure appears that is not in your table - Keep the same structure every week so leaders know where to look

Syllabus

  1. Module 1: Foundations of Prompt-Based Analytics

    Learn the five parts of a clear analysis prompt, what AI can and cannot do with data, and how to improve analysis with follow-ups. A practice data pack is included.

    4 lessons

    • Lesson 1.1: Introduction to Prompt-Based Analytics
    • Lesson 1.2: Role of Prompts in Data Analysis
    • Lesson 1.3: Types of Business Analytics Supported by AI
    • Lesson 1.4: Benefits and Limitations of AI-Driven Analytics

  2. Module 2: Preparing Data and Asking the Right Questions

    Describe your data, turn business goals into questions, clean and prepare data with prompts, and avoid common mistakes.

    4 lessons

    • Lesson 2.1: Understanding Business Data
    • Lesson 2.2: Defining Business Objectives for Analysis
    • Lesson 2.3: Writing Effective Analytical Prompts
    • Lesson 2.4: Common Prompting Mistakes in Analytics

  3. Module 3: Generating Business Reports Using AI

    Produce weekly KPI summaries, data narratives, stakeholder-specific reports and executive summaries.

    5 lessons

    • Lesson 3.1: Types of Business Reports
    • Lesson 3.2: Automating Report Drafting with AI
    • Lesson 3.3: Visual Insights and Data Narratives
    • Lesson 3.4: Customizing Reports for Stakeholders
    • Simulation: Presenting Negative Insights

  4. Module 4: Accuracy, Ethics, and Responsible Analytics

    Verify AI-generated insights, catch bias and misreading, protect data and use AI ethically in reporting.

    4 lessons

    • Lesson 4.1: Ensuring Accuracy in AI-Generated Insights
    • Lesson 4.2: Bias and Misinterpretation in Analytics
    • Lesson 4.3: Data Privacy and Confidentiality
    • Lesson 4.4: Ethical Use of AI in Business Reporting

  5. Module 5: Applying Prompt-Based Analytics in Business Decisions

    Support decisions with AI insights, build analytics into workflows and measure impact.

    4 lessons

    • Lesson 5.1: Supporting Decision-Making with AI Insights
    • Lesson 5.2: Measuring Business Impact
    • Lesson 5.3: Integrating Analytics into Business Workflows
    • Lesson 5.4: Future Trends in Prompt-Based Business Analytics

  6. Final Assessment

    Go from raw numbers to a decision, then complete the final assessment.

    1 lesson

    • Course Quiz

Try a free lesson

Free sample lesson: Anatomy of a strong analysis prompt (about 10 minutes, no payment or email needed).

Your certificate

Finish the lessons, then pass the final assessment with a score of at least 70% to earn your certificate of completion.

Every certificate has a unique ID. Anyone you share it with can check that it is real on our verification page. See a sample certificate.

Price and terms

$29, paid once, with lifetime access. No subscription.

Want more than one course? The Pro Bundle ($159) includes every course, and its price drops by $29 for each course you already own.

All sales are final, except for technical or billing errors such as a duplicate charge. See the Refund Policy for the full wording.

Questions

Can I trust the numbers AI gives me?

Not without checking. The course shows how to ask the AI to show each calculation, and how to recalculate a few results yourself. The practice data pack includes expected answers so you can see whether your results match.

Do I need to know statistics or code?

No. The course works through prompts and ordinary spreadsheet data.

Is practice data included?

Yes. A practice data pack with sample data and example reports is part of the first module, so you can run the exercises even without data of your own.

Can I paste company data into an AI tool?

Module 4 has a lesson on data privacy and confidentiality, so you know what to remove or anonymize and when to use only your approved tools.

Do I need a paid AI tool?

No. The exercises work with a free account of ChatGPT, Claude or another assistant that accepts pasted tables, or the tool your company has approved. You paste the prompts from the lessons into the tool you already use, so the course does not depend on any one product.

Is this a subscription?

No. You pay $29 once and keep access to the course for life.

Do I need an account before I buy?

No. Enter your email at checkout and we create your account for you. If you already have an account, log in first and the course is added to it.

How do I get the certificate?

Pass the final assessment with a score of at least 70%. Your certificate carries a unique ID that anyone can check on our verification page. It is a certificate of completion for this course.

Can I get a refund?

All sales are final, except for technical or billing errors such as being charged twice for the same course. The full wording is in our Refund Policy.

Can I buy all the courses together?

Yes. The Pro Bundle ($159) gives you every course, and its price goes down by $29 for each course you already own.

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