SQL for Database Management

Master SQL with our top-rated SQL for Database Management course in Malaysia. Learn SQL fundamentals, advanced queries, and database management. Enroll now!

CategoryData Analytics & Business Intelligence
Duration2 Days
Enrolled1000+
(200+ reviews)

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SQL for Database Management

Why Choose Garranto Academy for Your SQL Training?

Enroll at Garranto Academy for expert-led SQL training, real-world projects, and industry-relevant skills, ensuring you excel in database management and analytics.

Course Overview:

The SQL for Database Management course provides a comprehensive understanding of SQL and its role in managing and analyzing databases. Participants begin with database fundamentals, exploring different database types, concepts, and real-world applications. Through hands-on exercises, they will learn to create, manage, and manipulate databases using SQL commands, including table creation, data retrieval with SELECT statements, and query refinement with WHERE clauses. The course progresses to advanced SQL techniques such as subqueries, joins, views, indexing, and aggregate functions for data analysis. By solving real-world challenges and working on a final project, learners will gain practical experience in designing and implementing efficient SQL-based database solutions, making this course ideal for those looking to enhance their database management skills.

What You'll Learn in Our SQL for Database Management Course?

Course Objectives:

  • Understand the fundamentals of databases and their real-world applications.
  • Learn and apply basic SQL commands for creating, retrieving, updating, and

deleting data.

  • Use advanced querying techniques like filtering, sorting, and grouping data.
  • Perform data analysis using SQL functions and aggregate operations.
  • Implement advanced SQL features such as joins, subqueries, views, and

indexing.

  • Build and manage a functional database for a real-world scenario.

Prerequisites

  • Basic computer proficiency, including file navigation and software installation.
  • Familiarity with fundamental programming concepts such as variables, operators, and syntax.
  • Basic understanding of data types, structures, and storage concepts (optional but beneficial).

Course Outlines:

Day 1: Database Fundamentals and SQL Basics

Module 1: Course Introduction
  • Introduction to the course
  • Icebreaker Activity
  • Overview of Course Objectives and Agenda

Module 2: Database Fundamentals
  • What is a Database?
  • Definition, meaning, and types of databases.
  • Examples of real-world database applications.
  • Activity: Group discussion on database use cases in industries.
  • What is SQL?
  • SQL full form, basics, and role in database management.
  • Activity: Brief demo of setting up MySQL.

Module 3: SQL Basics
  • Create Table
  • How to create a database and tables in MySQL.
  • Activity: Hands-on practice creating a sample table.
  • SELECT Statement
  • Syntax and examples of retrieving data.
  • Activity: Fetch records from a sample table.
  • WHERE Clause
  • Use of AND, OR, IN, and NOT IN.
  • Activity: Filter data using conditions.
  • INSERT INTO Query
  • Adding rows into tables.
  • Activity: Insert records into a student database.
  • DELETE and UPDATE Queries
  • How to delete and update rows.
  • Activity: Practice deleting outdated records and modifying data.

Module 4: Data Sorting
  • ORDER BY Clause
  • Sorting data in ASC and DESC order.
  • Activity: Sort records based on different columns.
  • GROUP BY and HAVING Clauses
  • Aggregating data and filtering groups.
  • Activity: Group student scores by grade and filter results.
  • Wildcards and Regular Expressions
  • LIKE, NOT LIKE, %, _, and REGEXP.
  • Activity: Search for patterns in table data.

Day 2: Advanced SQL Techniques and Functions

Module 5: Functions and Aggregate Operations
  • SQL Functions
  • String, numeric, user-defined, and stored functions.
  • Activity: Implement basic and user-defined functions.
  • Aggregate Functions
  • SUM, AVG, MAX, MIN, COUNT, DISTINCT.
  • Activity: Perform aggregate operations on sample data.
  • IS NULL & IS NOT NULL
  • Handling NULL values in queries.
  • Activity: Retrieve records with NULL and NOT NULL values.

Module 6: Advanced Queries
  • Subqueries
  • Concept and examples of nested queries.
  • Activity: Retrieve data using subqueries.
  • JOINS
  • Types: INNER, OUTER, LEFT, RIGHT, CROSS.
  • Activity: Combine data from multiple tables using joins.
  • UNION
  • Combining results from different queries.
  • Activity: Merge query results with UNION.
  • Views
  • Creating and managing views.
  • Activity: Simplify frequent queries by designing views.
  • Indexing
  • Creating, adding, and dropping indexes.
  • Activity: Compare query performance with and without indexes.

Module 7: Key Takeaways, Q & A, Wrap Up
  • Summary of key concepts.
  • Highlight the most important takeaways.
  • Open Q&A session

Module 8: Final Assessment
  • Final Assignment:
  • Build a small database for a real-world scenario (e.g., an employee

or library management system) and apply learned SQL concepts.

  • Quiz:
  • Multiple-choice questions and short queries.

Course Outcomes:

Upon successful completion of this " SQL for Database Management" course, participants will:
  • Gain a clear understanding of databases and practical applications.
  • Demonstrate proficiency in using SQL for creating and managing database

structures.

  • Effectively query and manipulate data using advanced SQL commands.
  • Analyze and summarize data through aggregate functions and grouping

techniques.

  • Optimize database performance with indexing, views, and efficient queries.
  • Design and implement a complete database project for real-world use cases.

Key Benefits of Learning SQL for Database Management:

Master SQL to efficiently manage, query, and optimize databases, enabling seamless data retrieval, improved decision-making, and enhanced business intelligence.

How SQL Can Enhance Your Database Management Skills?

SQL empowers you to streamline data operations, ensure data integrity, and enhance database security, making you a valuable asset in data-driven industries.

Course Highlights

Comprehensive Learning

In-depth coverage of all key concepts and practical applications

Industry Certificate

Recognized certification upon successful completion

Expert Instructors

Learn from industry professionals with real-world experience

Ongoing Support

Continuous support and resources for career advancement

Course Information

Duration
2 Days
Effort
8 hours/day
Subject
Data Analytics & Business Intelligence
Quizzes
Yes
Level
Advanced
Language
English
Certificate
Yes

Upcoming Calendar

Course Schedule

August 2025

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Training Schedules

18-Aug-2025
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