Master SQL for Data Analysis - Alias for Tables and Columns

The video tutorial explains how to make column names more readable by assigning labels using expressions or built-in functions. It introduces the AS operator for aliasing columns and tables, enhancing readability and simplifying syntax. The tutorial also covers relabeling table names to make them shorter and more manageable, especially when combining data from multiple tables.

What is the primary purpose of using aliases for column names in SQL?

• To enhance data security

• To increase query execution speed

• To make column names more readable

• To reduce database size

Which keyword is commonly used to assign an alias to a column in SQL?

• BY

• ON

• AS

• WITH

In the example provided, what new name is given to the 'runtime' column?

• play_time

• movie_length

• show_time

• film_duration

Why might someone choose to use the 'as' keyword even though it's optional?

• It reduces the number of lines in the query

• It improves query performance

• It makes the query more readable

• It is required by SQL standards

What is the benefit of using table aliases when combining data from multiple tables?

• It automatically indexes the tables

• It encrypts the table data

• It makes table names shorter and easier to reference

• It allows for faster data retrieval