What your work should demonstrate
- Clean and validate a business dataset
- Use formulas, conditional totals and key-based lookups
- Build and reconcile PivotTables and clear charts
- Explain findings, assumptions and limitations in a reviewable workbook
Build a reviewable evidence package
- Brief and source index. Name the audience, intended result, software and files included. Label fictional data and training scenarios clearly.
- Original editable work. Keep working files and dependencies. Document any external assets and the permission needed to use them.
- Checks and iterations. Show a baseline, one meaningful revision and the evidence you used to judge it. Include settings or test results where the course requires them.
- Reflection and viewing link. Explain your decisions, repaired problems and remaining limitations. Test the link while signed out, and keep passwords and personal records out of the submission.
What review looks for
Purpose
The work addresses the brief and its intended audience.
Execution
The required techniques work together, with inspectable source evidence.
Validation
Tests, comparisons or checks support your claims about the result.
Explanation
Your reflection describes decisions, permissions and limitations honestly.
The detailed requirements in your course remain the assessment brief. This public page explains the common review approach; it is not a substitute for completing the taught exercises.
Submit, receive feedback, improve
Complete all 12 chapters and pass all 6 module quizzes first. Submit through Final project & certificate in your learning space. If changes are requested, revise the work and resubmit. Approval is required before certificate issuance; there is no fixed review turnaround promised here.