Learn SQL : Insert into SQL | SQL Between | SQL In

Learn SQL : Insert into SQL | SQL Between | SQL In | Udemy
English | Size: 528.35 MB
Genre: eLearning

What you’ll learn
Setup SQL Environment with PostgreSQL
Create a new database
Create a new table
Insert data into table
Select values within a given range using SQL Between
Specify multiple values in a WHERE clause with SQL IN

SQL (pronounced “ess-que-el”) stands for Structured Query Language. SQL is used to communicate with a database. According to ANSI (American National Standards Institute), it is the standard language for relational database management systems. SQL statements are used to perform tasks such as update data on a database, or retrieve data from a database. Some common relational database management systems that use SQL are: Oracle, Sybase, Microsoft SQL Server, Access, Ingres, etc.

Although most database systems use SQL, most of them also have their own additional proprietary extensions that are usually only used on their system. However, the standard SQL commands such as “Select”, “Insert”, “Update”, “Delete”, “Create”, and “Drop” can be used to accomplish almost everything that one needs to do with a database.

The SQL INSERT INTO Statement is used to add new rows of data to a table in the database.

The SQL BETWEEN command is used to select values within a given range. The values can be numbers, text, or dates. The BETWEEN command is inclusive: begin and end values are included.

The SQL IN condition (sometimes called the IN operator) allows you to easily test if an expression matches any value in a list of values. It is used to help reduce the need for multiple OR conditions in a SELECT, INSERT, UPDATE, or DELETE statement.

PostgreSQL, also known as Postgres, is a free and open-source relational database management system emphasizing extensibility and SQL compliance. It was originally named POSTGRES, referring to its origins as a successor to the Ingres database developed at the University of California, Berkeley.

Who this course is for:
Beginner Data Analyst
Beginner Data Scientist