Data Analyst Fundamentals | Naming, Data Dictionary & Data Modeling Explained

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"This is the first video in my Data Analyst Fundamentals series."

Are you struggling with messy data, unclear column names, and undocumented databases?

In this video, we break down Data Analyst fundamentals by focusing on the most overlooked — yet critical — skills:
Data Naming Conventions, Data Definitions, Data Dictionaries, and Data Modeling.

This lesson explains how poor naming and documentation create data chaos, and how professional data analysts solve this problem using clear standards and structured models.

🔹 What you’ll learn in this video:

How to create clear and consistent data names

How to write non-circular data definitions

The difference between Business, Logical, and Physical data models

How to read ER diagrams (Crow’s Foot notation)

Common mistakes that break data quality

🔹 Who this video is for:

Beginner & Intermediate Data Analysts

Data Engineers

BI Analysts

Career switchers & job seekers

This video acts as a data hygiene and standards foundation, preparing you for advanced topics like Data Warehousing, Star Schema, Snowflake Schema, and Data Quality Management.

📌 If you want to build clean, scalable, and professional data systems — start here.
Data Analyst Fundamentals

Data Naming Convention

Data Dictionary

Data Modeling

ER Diagram

Crow’s Foot Notation

Data Documentation

Data Quality

SQL Basics for Data Analysts
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