SQL (Structured Query Language) is a standard programming language used to manage and manipulate relational databases. It is used to create, modify, and extract data from databases, as well as to control access to databases.
SQL is important because it allows for the efficient management of large amounts of data, which is crucial for many businesses and organizations. With SQL, it is possible to store, organize, and retrieve data in a way that is both fast and accurate. SQL is also important for data analysis, as it enables users to extract specific information from databases and perform complex queries.
SQL is widely used in a variety of industries, including finance, healthcare, and e-commerce. Knowledge of SQL is therefore a valuable skill for many careers in data management, data analysis, and software development.
Learning SQL can be beneficial for a variety of reasons. Some of the main reasons to learn SQL include:
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CURRICULUM
- Introduction to SQL
- SQL Database MySQL, SQL Server, Oracle, IBM DB2, PostgreSQL, SQLite, Access
- SQL Types of Commands- DDL, DML, DQL, TCL, DCL, DAL
- SQL Data Types
- Creating DB & Tables in SQL
- inserting Data into Tables
- Retrieving Data with SELECT & Aliases in SQL
- Constraints- Not Null, Unique, Primary & Foreign Key, Check, Default
- Filtering Data with WHERE Clause & Complex query
- Complete Operators- =,> >= , < , <= , <> or ! , Between, Like, IN, Not IN, EXIST, NOT EXIST , Any, All
- Wildcard in SQL- %, _, [], ^, -
- Sorting Data with ORDER BY Clause
- Union and Union All
- Gruping Data with GROUP BY
- Aggregating Data with Aggregate Functions
- Having, Top Clause & Distinct Keyword
- Complete Joining Tables in SQL- Left, Right, Inner Join, Full Join, Cross Join, Self Join
- Subqueries in SQL
- Updating Data with UPDATE
- Deleting Data with DELETE
- Complete Alter Commands
- Alter with Constraints examples
- Functions- String, Date & Time, Mathematical, Advanced Functions, IF Condition
- Indexes in SQL & Views in SQL
- Stored Procedures
- Transactions in SQL
- Analytic Functions in SQL
- XML And JSON Processing in SQL
- Temporal Tables in SQL