Course

SQL(Structured Query Language)

WHAT’S THIS PROGRAM ABOUT?

SQL stands for "Structured Query Language." It is a domain-specific programming language used for managing and querying relational databases. SQL provides a standardized way to interact with databases, allowing users to perform tasks such as retrieving data, inserting, updating, and deleting records, defining and modifying database structures, and implementing security and access controls.

• SQL is a Standard Language: SQL is a standardized language used to interact with relational databases. It's not specific to a particular database system
• Ease of Use: SQL is designed to be a user-friendly language with a relatively simple and readable syntax, making it accessible to a wide range of users, from beginners to experts.
• Data Manipulation: SQL enables users to insert, update, and delete data in a database, ensuring that data remains accurate and up-to-date.

CURRICULUM

• Introduction to Databases: What is a database?, Types of databases (relational, non-relational), Structured vs. unstructured data
• Introduction to SQL: What is SQL?, History and importance of SQL, Relational databases and tables
• Retrieving Data: SELECT statement, FROM clause, WHERE clause for filtering, ORDER BY clause for sorting, LIMIT/OFFSET for paging
• Filtering and Sorting Data: Comparison operators, Logical operators (AND, OR, NOT), BETWEEN and IN operators, LIKE operator for pattern matching, IS NULL and IS NOT NULL
• Working with Data in Tables: INSERT statement for adding data, UPDATE statement for modifying data, DELETE statement for removing data, Handling NULL values
• Aggregating Data: COUNT function for counting rows, SUM function for adding values, AVG function for calculating averages, MIN and MAX functions for finding extremes
• Joining Tables: Understanding table relationships, INNER JOIN for combining data from multiple tables, Self-joins for relating data within the same table
• Subqueries: What are subqueries?, Subqueries in the WHERE clause for filtering, Understanding correlated subqueries
• Data Modification Statements: Transaction control (COMMIT and ROLLBACK), SAVEPOINT for partial rollbacks
• Data Integrity and Constraints: Primary keys for unique identification, Foreign keys for establishing relationships, UNIQUE and CHECK constraints for data validation
• Introduction to Indexes: Creating and using indexes for performance optimization, Index types (e.g., B-tree)

TRAINING ENABLERS

• Complementary learning materials
• Real-World Projects
• Q&A and Troubleshooting
• Flexible classroom and Online Training