Course SQL Server

SQL Server

About Course

Learn Microsoft SQL Server from the fundamentals to advanced database concepts through practical, industry-oriented training. This course covers relational database concepts, SQL query writing, database design, joins, subqueries, functions, stored procedures, views, indexes, transactions, and security.

The training is suitable for students, freshers, and working professionals looking to build skills for SQL Developer, Database Developer, .NET Developer, Data Analyst, and Database Administration roles.

Duration: 35+ Hours

Category: Data & AI

Skill Level: Beginner-Advanced

Modules: 22

Subjects & Expertise

With extensive experience in Microsoft SQL Server and relational database technologies, I specialize in teaching database design, T-SQL programming, query optimization, database development, and data management. The training focuses on developing strong SQL fundamentals while providing practical skills required for modern enterprise applications and data-driven solutions.

Whether you’re a beginner starting your database journey or a professional looking to strengthen your SQL Server expertise, the course combines instructor-led learning with practical exercises, real-world examples, and industry-oriented projects. Students gain the ability to write efficient queries, work with complex databases, troubleshoot SQL problems, and build reliable data solutions using SQL Server.

Educational Background

Our SQL Server training is designed by industry professionals with extensive experience in database development, application development, and software engineering. The curriculum combines core database concepts with practical implementation, helping learners develop strong, job-ready T-SQL and SQL Server skills.

Every module includes hands-on labs, real-world scenarios, database exercises, and practical assignments, enabling learners to confidently work with SQL Server in software development, web applications, enterprise systems, data analysis, and database management roles.

Modules

1: Introduction to SQL Server

Topics Covered: Introduction to SQL Server, SQL Server Architecture, RDBMS Concepts, SSMS, Database Objects, Installing SQL Server

2: Retrieving Data Using SELECT

Topics Covered: SELECT Statement, DISTINCT, Aliases, TOP Clause, ORDER BY

3: Filtering and Sorting Data

Topics Covered: WHERE Clause, Comparison Operators, Logical Operators, BETWEEN, IN, LIKE

4: Built-in Functions

Topics Covered: String Functions, Numeric Functions, Date Functions, NULL Functions

5: Data Conversion and CASE Expressions

Topics Covered: CAST, CONVERT, TRY_CAST, TRY_CONVERT, CASE Statements

6: Aggregate Functions and Grouping

Topics Covered: COUNT, SUM, AVG, MIN, MAX, GROUP BY, HAVING

7: Joins in SQL Server

Topics Covered: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN, SELF JOIN

8: Subqueries and CTE

Topics Covered: Subqueries, Correlated Subqueries, EXISTS, CTE, Recursive CTE

9: Set Operators

Topics Covered: UNION, UNION ALL, INTERSECT, EXCEPT

10: Data Manipulation Language

Topics Covered: INSERT, UPDATE, DELETE, MERGE, Transactions

11: Database Objects and DDL

Topics Covered: CREATE TABLE, ALTER TABLE, Constraints, Views, Schemas

12: Views, Indexes and Sequences

Topics Covered: Views, Clustered Index, Nonclustered Index, Sequences

13: Stored Procedures

Topics Covered: Creating Procedures, Parameters, Dynamic SQL, TRY CATCH

14: User Defined Functions

Topics Covered: Scalar Functions, Inline TVF, Multi Statement Functions

15: Triggers

Topics Covered: AFTER Trigger, INSTEAD OF Trigger, Auditing

16: Window Functions

ROW_NUMBER()
RANK()
DENSE_RANK()
LEAD()
LAG()

17: Temporary Tables and Table Variables

Topics Covered: Temp Tables, Global Temp Tables, Table Variables

18: Dynamic SQL

Topics Covered: EXEC, sp_executesql, Dynamic Reporting

19: Advanced Queries

Topics Covered: PIVOT, UNPIVOT, CROSS APPLY, OUTER APPLY

20: Performance Tuning Basics

Topics Covered: Execution Plans, Statistics, Index Tuning, Query Store, DMVs

21: Security and User Management

Topics Covered: Logins, Users, Roles, Grant, Revoke

22: Interview and Real-Time Scenarios

Topics Covered: Interview Questions, Production Scenarios, Best Practices

Training Outcome

Write complex SQL queries
Work with multiple tables using joins
Perform advanced data analysis using SQL
Create and manage database objects
Handle transactions effectively
Understand database security concepts
Work with real-time business datasets