What if we are interested only in two models: let it be A4 and A5?

Of course, we could write `WHERE model = 'A4' OR model = 'A5'`. But is there a point in writing two conditions for the same column? This problem is also solved in SQL by using `IN` statement. To check if a value from a column is one of acceptable use `WHERE column IN ('value1', 'value2', ...)` syntax. For example,

SELECT *
FROM audi_cars
WHERE model IN ('A4', 'A5')

> `WHERE column IN ('value1', 'value2')` is equvivalent to `WHERE column = 'value1' OR column = 'value2'`. It also works for numeric values.

SQL is a domain-specific programming language widely used by data scientists, analysts, etc for manipulating and extracting necessary data. Nowadays, SQL is a must-have point in the CV for every potential analyst, data scientist. In this course, you will be introduced to the very basics of SQL.

In this section, you will be introduced to the very basics of SQL: extracting one or multiple columns from a database.

In this section, you will learn how to filter observations so only necessary rows will be extracted.

In this section, you will learn about the usage of different aggregating functions for your table, such as minimum, maximum, average... 

In this section, you will learn how to sort your table, even having filters and aggregate functions applied to a table.

In this section, you will learn about grouping observations and usage of this principle.

This chapter is designed for users who have completed the previous sections and want to consolidate knowledge.

Multiple filtering on one column

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