# AI-Assisted Analytics and Business Intelligence with Excel, Power BI, and Tableau

**Course FAST-11** · 15 hours · Instructor: Wadood Chaudhary · Presented by 7formations

## Session 1. Prepare the data (3 hours)

- Data rules and sensitivity
- Cleaning with AI help
- Documenting transformations
- **Lab 1: Scrap log cleanup.**

## Session 2. Ask and verify (3 hours)

- Plain-language questions
- Pivots and formulas to check
- Where AI analysis goes wrong
- **Lab 2: Ten questions, three verified.**

## Session 3. Visualize (3 hours)

- Choosing visuals
- Fixing misleading charts
- Dashboards in Power BI or Tableau
- **Lab 3: Visual clinic and dashboard draft.**

## Session 4. Explain (3 hours)

- AI-drafted narratives
- Fact-checking the story
- Writing for decision makers
- **Lab 4: Data story with fact-check.**

## Session 5. Share safely and present (3 hours)

- Permissions, labels, refresh
- Capstone presentations
- **Lab 5: Permissions lab and capstone.**

## Worksheets and deliverables

- W1 Transformation log
- W2 Question-and-verify log
- W3 Chart fix sheet
- W4 Data story fact-check
- W5 Sharing checklist
- Capstone dashboard and data story

## Attendance and completion

- Attendance is recorded at the start and end of every session (live virtual: platform attendance log plus an instructor roll call or poll; in-person: signed sheet).
- A trainee must attend 100% of instructional hours. A missed session may be made up by attending the same session in another scheduled cohort within 30 days; the make-up is logged the same way.
- A trainee must submit every required lab deliverable and score 'Meets' on the final applied task.
- Each completion record is tied to the trainee, the employer FEIN, and the course number, and is kept for the contract retention period.
- Incomplete trainees are not reported as completions and are not billed to anyone. FAST AI pays for completions only; employers and trainees are never charged.
- Optional asynchronous pre-work (under 10% of course time) is supplemental, is not counted as instructional hours, and never substitutes for a live session.

## Assessment rubric

Each criterion is scored Not yet / Meets / Strong. Completion requires Meets on every criterion for the final deliverable (resubmission allowed within the course window).

| Criterion | Meets standard |
| --- | --- |
| Data preparation | Clean data with documented steps |
| Verification | AI answers checked and discrepancies resolved |
| Visual design | Visuals fit the question and do not mislead |
| Narrative | Every claim supported by the data |