If a column doesn't contain any data, it's considered `NULL`. To determine if a value is `NULL`, you don’t just check for equality. Instead, you use the `WHERE` clause with `IS NULL` in a `SELECT` statement to find rows where the column’s value is `NULL`.

The syntax for it looks like this: 

```sql
SELECT columns
FROM table 
WHERE column_name IS NULL;
```

Let's illustrate this with an example:




SELECT name
FROM country
WHERE region IS NULL;

Here is the `country` table we are working with: 

This course is perfect for beginners ready to explore the world of SQL. Whether you're just starting out in database management or aiming to use SQL for your application development projects, this course covers the essentials. You'll quickly learn how to leverage the full potential of SQL, from querying and managing data to seamlessly integrating it into real-world applications. By the end of the course, you'll have the confidence and skills to solve practical problems with SQL and enhance your development process.

In this section, we will learn how to use the SQL SELECT statement to get a single table column, multiple table columns, and all table columns. We will also find out how to return unique values.

In this section, we’ll explore how to organize and prioritize the data returned by a query using the ORDER BY clause. Placed at the end of a SELECT statement, this clause lets you sort your results by one or multiple columns, either in ascending or descending order, enabling more meaningful and easily interpretable data output.

In this section, we will learn how to filter returned data using the SELECT statement's WHERE clause. We will learn how to test for equality, inequality, more and less significant than value ranges, and NULL values.

In this section, we’ll explore how to refine your search conditions by combining WHERE clauses with the AND and OR operators. We’ll also cover how the NOT operator can be used to exclude certain results.

In this section, we will learn what the SQL aggregate functions are and how to use them to summarize table data.

Checking for NO Value

Solution

Checking for NO Value

Solution