Power BI Beginner to Advanced — Lesson 2: Data Modeling and DAX

Lesson Overview

This lesson develops practical understanding of Data Modeling and DAX within the Power BI Beginner to Advanced learning path.

Learners connect the key concepts to a realistic complete Power BI data preparation, modeling, analysis, and reporting scenario and document the decisions, evidence, risks, and improvement opportunities identified during the activity.

Learning Objectives

• Explain the purpose and role of data modeling and dax.
• Apply the lesson concepts to a practical complete Power BI data preparation, modeling, analysis, and reporting requirement.
• Recognize security, governance, operational, and quality considerations.
• Validate the result and recommend appropriate next steps.

Topics Covered

• star-schema design
• relationships
• calculated columns and measures
• time intelligence

Hands-On Activity

1. Review the scenario, stakeholders, current process, requirements, and expected outcome.
2. Prepare the required Microsoft environment, design, query, report, script, or configuration.
3. Complete the guided implementation and record important decisions and dependencies.
4. Test the outcome using functional, security, data-quality, and operational checks.
5. Document issues, corrective actions, evidence, and an improvement recommendation.

Validation Checklist

• The solution or analysis matches the documented requirement.
• Configuration, calculations, queries, scripts, or workflows produce the expected result.
• Security, access, governance, data quality, and operational impacts are reviewed.
• Errors and limitations are documented with clear corrective actions.
• The final output includes reusable notes and practical next steps.

Lesson Outcome

After completing this lesson, learners can explain, apply, and validate data modeling and dax in a realistic workplace scenario.