Master the Language of Databases: Learn SQL for Data Management and Analysis

This course provides a comprehensive introduction to SQL (Structured Query Language), enabling you to manage, query, and analyze data in relational databases. Perfect for beginners and professionals alike, this program covers everything from the basics to advanced SQL techniques.

Tools & Technologies Covered:

• SQL (Structured Query Language)
• MySQL
• PostgreSQL
• SQL Server
• SQL Workbench

Course Overview
This course will help you:

• Understand the fundamentals of relational databases and SQL.
• Learn to write SQL queries for data retrieval, manipulation, and analysis.
• Gain expertise in database design, optimization, and security.

Course Curriculum

Module 1: Introduction to SQL

• What is SQL?
• Understanding Relational Database Management Systems (RDBMS)
• Key SQL Concepts: Tables, Rows, and Columns
• Setting Up the Development Environment (MySQL Workbench, PostgreSQL, or SQL Server)

Module 2: Basics of SQL Queries

• Writing Basic Queries with SELECT
• Filtering Data Using WHERE, AND, OR, NOT
• Sorting Data Using ORDER BY
• Using Aliases for Tables and Columns

Module 3: Data Manipulation

• INSERT Statements for Adding Data
• UPDATE Statements for Modifying Existing Records
• DELETE Statements for Removing Data

Module 4: Working with Functions

• Aggregate Functions: SUM, AVG, MAX, MIN, COUNT
• String Functions: CONCAT, LENGTH, SUBSTRING
• Date and Time Functions: NOW, DATE_ADD, DATE_DIFF

Module 5: Advanced Query Techniques

• Using Subqueries and Nested Queries
• Joining Tables
  • INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
• Grouping Data with GROUP BY and HAVING
• Combining Results with UNION and INTERSECT

Module 6: Database Design and Normalization

• Understanding Keys: Primary Key, Foreign Key, Unique Key
• Database Normalization: 1NF, 2NF, 3NF
• Creating and Altering Tables
• Relationships Between Tables

Module 7: SQL for Data Analysis

• Writing Complex Queries for Analytical Insights
• Window Functions: ROW_NUMBER, RANK, LEAD, LAG
• Pivoting Data for Reporting

Module 8: SQL for Performance Optimization

• Indexing for Faster Query Execution
• Analyzing and Optimizing Query Performance
• Using EXPLAIN and Execution Plans

Module 9: Security and User Management

• Creating Users and Assigning Permissions
• Securing Databases and Preventing SQL Injection

Module 10: Real-World Applications and Projects

• Building and Querying Databases for Business Scenarios
  • Sales Reporting System
  • Customer Data Analysis
• Writing SQL Scripts for Automation

Key Features:

• Hands-On Practice: Work on real-world datasets and queries.
• Comprehensive Curriculum: Covers basic to advanced SQL concepts.
• Certification: Earn an SQL Programming certificate upon successful completion.

Who Should Attend?

• Aspiring database administrators and data analysts.
• Developers looking to integrate databases into applications.
• Business professionals aiming to enhance data querying and reporting skills.