The 3 SQL Commands Every Data Analyst Uses Daily | Beginner SQL Tutorial
Автор: Informessor
Загружено: 2026-01-18
Просмотров: 74
GitHub SQL Queries Used in Video: https://github.com/SharifAthar/MySQL-...
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If SQL still feels confusing, it’s usually because you have not mastered the few keywords you will use in almost every query. In this video, you will learn how to explore any table fast, stay organized, and avoid getting overwhelmed by massive outputs.
This beginner friendly lesson is for anyone learning SQL for the first time or rebuilding their fundamentals. You will practice with a real healthcare dataset and walk away able to confidently preview tables, choose only the columns you need, and quickly discover what values exist inside a column.
Key takeaways you will learn
• How SELECT and FROM work together to pull exactly what you want from a table
• The smartest way to preview large datasets without drowning in rows
• Why selecting specific columns is cleaner and often faster than selecting everything
• How LIMIT helps you iterate quickly when exploring data
• How to use DISTINCT to spot unique categories and remove duplicates
• A simple way to explore relationships across columns using DISTINCT
• A critical note about row order and why results may not be consistent without sorting
If you are searching for a beginner SQL tutorial that explains SELECT FROM LIMIT and DISTINCT in MySQL, this lesson is built for you. You will learn practical SQL query patterns for exploring tables, previewing data with LIMIT, handling column names with spaces using backticks, and using DISTINCT to quickly understand categories like hospitals, insurance providers, and medical conditions. This is the foundation that makes WHERE clauses, filtering, and analysis workflows much easier in the next videos.
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The views and opinions expressed in this video are my own and are shared for informational purposes only. I strive to provide accurate information, but I encourage viewers to verify details independently. Nothing in this video should be interpreted as an official statement or position of any company I currently work for or have worked for, and my comments do not represent their views.
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