MS SQL

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Duration  4 days – 28 hrs

 

Overview

 

This Basic SQL Training Course is designed to provide participants with a solid foundation in SQL, enabling them to interact with databases confidently and efficiently. Through a combination of theoretical concepts and hands-on exercises, participants will gain practical skills essential for working with relational databases

 

Objectives

 

  • Comprehend the role of databases in data management.
  • Gain an overview of SQL as a standard language for interacting with databases.
  • Learn basic SQL syntax and structure for creating and manipulating databases.
  • Execute SQL queries using the SELECT statement.
  • Retrieve specific data using the WHERE clause.
  • Sort and limit query results with ORDER BY and LIMIT clauses.
  • Understand relationships between tables.
  • Join tables using INNER JOIN and OUTER JOIN for comprehensive queries.
  • Insert new data into tables using INSERT.
  • Update and delete records with UPDATE and DELETE commands.
  • Use aggregate functions for calculations (SUM, AVG, COUNT, MIN, MAX).
  • Group data with GROUP BY and filter grouped data with HAVING.
  • Create tables with CREATE TABLE.
  • Modify table structures with ALTER TABLE and drop tables with DROP TABLE.
  • Enforce data integrity using constraints (PRIMARY KEY, FOREIGN KEY, UNIQUE).
  • Handle NULL values appropriately.
  • Utilize subqueries for nested data retrieval.
  • Create and manage views for simplified queries.
  • Understand transactions and implement transaction control (COMMIT, ROLLBACK).
  • Manage concurrent access with locking mechanisms.
  • Apply SQL best practices for efficient querying.
  • Implement indexing strategies to optimize performance.

 

Audience

 

  • Aspiring Database Professionals
  • Software Developers
  • Data Analysts and Business Analysts
  • IT Support and Technical Staff
  • Project Managers
  • QA/Testers

 

Pre- requisites 

  • Participants should have a basic understanding of computer usage and file management.
  • Familiarity with general data concepts, such as tables, rows, and columns.
  • The course is designed for beginners, so no prior knowledge of SQL or database management is necessary.

 

Course Content

 

Day 1: Introduction to SQL and Relational Databases

 

Chapter 1: Introduction to Databases and SQL

 

  • Overview of databases and their importance
  • Introduction to Structured Query Language (SQL)
  • Understanding the role of SQL in managing data

 

Chapter 2: Relational Database Concepts

 

  • Understanding relational databases and their components
  • Entities, tables, rows, columns, and relationships
  • Primary keys, foreign keys, and normalization

 

Chapter 3: SQL Basics – Data Manipulation Language (DML)

 

  • SELECT statement for retrieving data
  • Filtering data with WHERE clause
  • Sorting data using ORDER BY
  • Inserting, updating, and deleting data

 

Day 2: Advanced SQL Queries and Database Design

 

Chapter 4: Advanced SQL Queries

 

  • Working with multiple tables using JOINs
  • Aggregation functions (SUM, AVG, COUNT, etc.)
  • GROUP BY and HAVING clauses for data summarization
  • Subqueries and nested queries

 

Chapter 5: Database Design and Normalization

 

  • Overview of database design principles
  • Normalization and its different forms (1NF, 2NF, 3NF)
  • Entity-Relationship Diagrams (ERDs)
  • Creating and modifying tables using SQL Data Definition Language (DDL)

 

Day 3: SQL Data Manipulation and Database Administration

 

Chapter 6: Data Manipulation – Constraints and Transactions

 

  • Using constraints (UNIQUE, NOT NULL, CHECK, etc.)
  • Understanding transactions and their properties (ACID)
  • Rollback, commit, and save transactions

Chapter 7: SQL Views, Indexes, and Stored Procedures

 

  • Creating and managing views for data abstraction
  • Working with indexes for query optimization
  • Introduction to stored procedures and their benefits

 

Chapter 8: Database Administration Basics

 

  • User management and permissions
  • Backup and recovery strategies
  • Performance tuning and optimization techniques
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