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Emily
Emily

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Introduction to SQL for data analysis

What is SQL?
SQL (Structured Query Language) is a programming language used for managing and analyzing relational databases .SQL stores data in a table format .First ,we need to know what databases are, and define relational databases .A database is an organized collection of raw data files stored in a hard drive .A relational database is a type of database that organizes data into one or more tables, with each table consisting of a set of rows and columns. These tables can be related to each other through the use of common columns or fields, which allows for efficient storage and retrieval of data.

SQL is widely used in data analysis as it allows users to extract and manipulate data from databases with ease. It is used in accessing, cleaning, and analyzing data that's stored in databases.

  **Advantages of SQL**
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It does not need one to code.
It is flexible - can be used with other programming languages and on any device.
It uses simple commands in English for complex procedures.
It processes queries at a high speed.

**Disadvantages of SQL**
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It has a complicated interface.
It is cost insufficient.
It is not very secure.

Commands used in SQL
Here are some key commands that you'll need to know to get started with SQL for data analysis:
1.Create command - used to create databases.
2.Select -used to extract data from the existing databases.
3.Insert- used to add tables or values into existing databases.
4.Update - used to change tables or values that are already existing in the database.
5.Drop - used to remove table definition and all the data from database tables.
6.Delete - used to delete existing records from a table.

There are many commands in SQL and it's sometimes difficult to memorize all of them but having an SQL cheat sheet is enough in most cases to get by and thrive when using the language for SQL data analysis.

Conclusion
The article gives an overview of SQL and the way it facilitates the analysis of data.

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