Master MS SQL

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Master MS SQL

Category: Database

Duration: 40-50 Hrs

Prerequisites : None

The Master MS SQL Course is designed to take learners from beginner to advanced levels in SQL using Microsoft SQL Server. Whether you're just starting out or looking to sharpen your database skills, this course offers a structured, hands-on approach to mastering SQL for real-world applications.

Course Modules

Description:

  • Explore what databases are and how they’re used in real life
  • Understand relational vs non-relational models
  • Learn where SQL fits into the data ecosystem

Skills Learned:

  • Database fundamentals
  • SQL vs NoSQL comparison
  • Real-world use cases of relational databases

Description:

  • Install Microsoft SQL Server and SSMS
  • Navigate the SSMS interface confidently
  • Create and manage your first database

Skills Learned:

  • SQL Server installation
  • SSMS navigation
  • Database creation and configuration


Description:

  • Write simple queries to retrieve and sort data
  • Use filters and conditions to refine results

Skills Learned:

  • SELECT, FROM, WHERE, ORDER BY
  • Data filtering and sorting
  • Querying single tables

Description:

  • Create structured tables with appropriate data types
  • Modify and delete tables safely

Skills Learned:

  • CREATE, ALTER, DROP
  • Choosing and applying data types
  • Table design best practices

Description:

  • Learn how to insert, update, and delete records
  • Practice managing data in real-world scenarios

Skills Learned:

  • INSERT, UPDATE, DELETE
  • Record management
  • Avoiding data inconsistencies

Description:

  • Understand how tables connect using keys
  • Design normalized, relational schemas

Skills Learned:

  • Primary and foreign keys
  • Table relationships
  • Referential integrity

Description:

  • Combine data across multiple tables
  • Write nested queries for complex logic

Skills Learned:

  • INNER JOIN, LEFT JOIN, FULL JOIN
  • Subqueries and correlated queries
  • Multi-table data retrieval

Description:

  • Create reusable views for simplified querying
  • Use indexes to improve performance

Skills Learned:

  • CREATE VIEW, DROP VIEW
  • Clustered vs non-clustered indexes
  • Query abstraction and optimization


Description:

  • Automate logic with reusable SQL blocks
  • Create functions for custom operations

Skills Learned:

  • CREATE PROCEDURE, EXEC
  • Scalar and table-valued functions
  • Modular scripting

Description:

  • Ensure data consistency with transactions
  • Handle errors gracefully in SQL scripts

Skills Learned:

  • BEGIN TRAN, COMMIT, ROLLBACK
  • TRY-CATCH blocks
  • Atomic operations

Description:

  • Protect data using roles and permissions
  • Understand basic encryption and access control

Skills Learned:

  • GRANT, REVOKE
  • Role-based access
  • Data security principles

Description:

Merge and compare query results using set logic

Skills Learned:

  • UNION, UNION ALL, INTERSECT, EXCEPT
  • GROUP BY, HAVING
  • Aggregate functions

Description:

Enforce rules and relationships within tables

Skills Learned:

  • PRIMARY KEY, FOREIGN KEY
  • CHECK, DEFAULT, UNIQUE
  • Referential integrity