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Semantics: The Soul of Data

30 minutes admin 55 views Internal

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Overview

How meaning transforms raw numbers into business intelligence — and why it's the most critical skill in the age of AI.

Prerequisites

Basic familiarity with tables, rows, and columns in a database or spreadsheet
Some exposure to data analysis or business intelligence concepts
Awareness of tools like Power BI or Excel (helpful, not required)

Learning Outcomes

xplain the difference between syntax and semantics in a data context
Distinguish between general semantics and data semantics with real examples
Describe how semantics prevent dangerous misinterpretations in data analysis
Identify the four key components of a Semantic Data Model
Apply semantic thinking to Power BI / Microsoft Fabric design decisions

Tutorial Info

Type Interactive
Difficulty Beginner
Duration 30 minutes
Provider Internal
Published Apr 16, 2026
Last Updated May 24, 2026