SQL Programming Resources – Telegram
SQL Programming Resources
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Find top SQL resources from global universities, cool projects, and learning materials for data analytics.

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Getting started with SQL comparison operators.

If you're new to SQL, understanding comparison operators is one of the first things you'll need to learn.

They’re really important for filtering and analyzing your data. Let’s break them down with some simple examples.

Comparison operators let you compare values in SQL queries. Here are the basics:
1. = (Equal To): Checks if two values are the same.
Example: SELECT * FROM Employees WHERE Age = 30; (This will find all employees who are exactly 30 years old).

2. <> or != (Not Equal To): Checks if two values are different.
Example: SELECT * FROM Employees WHERE Age <> 30; (This will find all employees who are not 30 years old).

3. > (Greater Than): Checks if a value is larger.
Example: SELECT * FROM Employees WHERE Salary > 50000; (This will list all employees earning more than 50,000).

4. < (Less Than): Checks if a value is smaller.
Example: SELECT * FROM Employees WHERE Salary < 50000; (This will show all employees earning less than 50,000).

5. >= (Greater Than or Equal To): Checks if a value is larger or equal.
Example: SELECT * FROM Employees WHERE Age >= 25; (This will find all employees who are 25 years old or older).

6. <= (Less Than or Equal To): Checks if a value is smaller or equal.
Example: SELECT * FROM Employees WHERE Age <= 30; (This will find all employees who are 30 years old or younger).

These simple operators can help you get more accurate results in your SQL queries.

Keep practicing and you’ll be great at SQL in no time.

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Hope it helps :)
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SQL data cleaning methods you should know for Data Science:

1. Identifying Missing Data
2. Removing Duplicate Records
3. Handling Missing Data
4. Standardizing Data
5. Correcting Data Entry Errors
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SQL Programming Resources
What's the full form of NoSQL?
To be honest, I also wasn't aware of this fullform until today 😂
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5 Key SQL Aggregate Functions for data analyst

🍞SUM(): Adds up all the values in a numeric column.

🍞AVG(): Calculates the average of a numeric column.

🍞COUNT(): Counts the total number of rows or non-NULL values in a column.

🍞MAX(): Returns the highest value in a column.

🍞MIN(): Returns the lowest value in a column.
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