Advanced Excel and PowerPoint — Lesson 1: Advanced Excel Data Preparation and Formulas

Learning Objectives

• Structure tables, named ranges, validation, and clean data workflows
• Use lookup, logical, text, date, statistical, and dynamic-array functions
• Audit formulas, handle errors, and document analytical assumptions

Detailed Topics

• Structure tables: Structure tables, named ranges, validation, and clean data workflows
• Use lookup: Use lookup, logical, text, date, statistical, and dynamic-array functions
• Audit formulas: Audit formulas, handle errors, and document analytical assumptions

Guided Demonstration

1. Review the requirement, environment, dependencies, roles, risks, and expected outcome.
2. Demonstrate the relevant configuration, analysis, code, or administration workflow step by step.
3. Capture settings, outputs, logs, screenshots, calculations, or test evidence.
4. Compare the observed result with the stated acceptance criteria.

Hands-On Activity

Prepare and analyze a business dataset using reusable Excel formulas.

• Document assumptions and the planned sequence before making changes.
• Complete the activity and preserve evidence of normal and exception behavior.
• Record issues, corrective actions, and reusable operational or development notes.

Troubleshooting Focus

• Separate symptoms from causes and collect evidence before applying a fix.
• Check configuration, permissions, data, dependencies, capacity, connectivity, and recent changes.
• Validate rollback, recovery, support ownership, and user or business impact.

Validation Checklist

• The requirement and expected outcome are clear.
• The selected configuration, design, query, code, or process is documented.
• Normal, boundary, failure, security, and operational conditions are reviewed.
• The result is supported by evidence and the next improvement is prioritized.

Lesson Outcome

Learners can explain and apply Advanced Excel Data Preparation and Formulas in a realistic scenario and validate the result with documented evidence.