Course 55232-A: Writing Analytical Queries for Business Intelligence — Lesson 1: Analytical SELECT Queries, Expressions, and Data Types

Learning Objectives

• Apply declarative SQL thinking and structure analytical SELECT queries
• Use expressions, aliases, built-in functions, conversions, and NULL handling
• Transform table columns into analysis-ready values and variables

Guided Demonstration

1. Review the requirement, environment, dependencies, roles, risks, and expected result.
2. Demonstrate the relevant configuration, development, analysis, or support workflow.
3. Capture settings, outputs, logs, screenshots, code, or test evidence.
4. Compare the observed result with the acceptance criteria and identify gaps.

Hands-On Activity

Create an analytical query that cleans, converts, and derives business measures.

• 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 result 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 Analytical SELECT Queries, Expressions, and Data Types in a realistic scenario and support the result with documented evidence.