SQLite course in Mianwali

Course Overview:

1. Introduction to SQLite

• What is SQLite?: Overview of SQLite, its features, and common use cases.
• Installation and Setup: How to download, install, and configure SQLite on various operating systems (Windows, macOS, Linux).
• SQLite Tools: Introduction to SQLite tools such as the SQLite Command-Line Interface (CLI) and SQLite Database Browser.

2. SQLite Basics

• Database Structure: Understanding SQLite’s database structure, including databases, tables, and rows.
• SQL Fundamentals: Introduction to SQL (Structured Query Language) specific to SQLite, including basic commands for data manipulation (SELECT, INSERT, UPDATE, DELETE).
• Data Types: Overview of SQLite data types and how to use them (e.g., INTEGER, TEXT, REAL, BLOB).

3. Creating and Managing Databases

• Database Creation: How to create a new SQLite database and manage its files.
• Table Creation: Creating tables, defining columns, and setting constraints (e.g., PRIMARY KEY, UNIQUE).
• Indexing: Creating and managing indexes to improve query performance.

4. Querying Data

• Basic Queries: Writing and executing basic SQL queries to retrieve data from SQLite databases.
• Filtering and Sorting: Using query operators to filter and sort query results (e.g., WHERE, ORDER BY).
• Joins and Subqueries: Performing joins to combine data from multiple tables and using subqueries for complex queries.

5. Data Manipulation

• Inserting Data: Adding new records to tables using INSERT statements.
• Updating Data: Modifying existing records with UPDATE statements.
• Deleting Data: Removing records with DELETE statements.

6. Advanced SQL Techniques

• Aggregation: Using aggregate functions (e.g., COUNT, SUM, AVG) and grouping data with GROUP BY.
• Common Table Expressions (CTEs): Writing and using CTEs for organizing complex queries.
• Window Functions: Applying window functions to perform calculations over sets of rows related to the current row.

7. Database Design and Normalization

• Design Principles: Understanding database design principles, including normalization and denormalization.
• Normalization Forms: Learning about different normalization forms (1NF, 2NF, 3NF) to design efficient databases.
• Schema Design: Designing effective schemas for SQLite databases, including relationships between tables.

8. Performance Optimization

• Query Optimization: Techniques for optimizing SQL queries to improve performance.
• Index Optimization: Best practices for creating and managing indexes to enhance query speed.
• Database Tuning: Configuring SQLite settings and parameters for optimal performance.

9. Backup and Recovery

• Backup Methods: Using SQLite’s backup features to create and manage database backups.
• Recovery Procedures: Restoring databases from backups and recovering data from corrupted databases.

10. Security

• Data Encryption: Implementing data encryption to protect sensitive information in SQLite databases.
• Access Control: Managing access to SQLite databases and ensuring data integrity.
• Best Practices: Security best practices for working with SQLite databases.

11. Integration and Practical Use

• Integration with Applications: Using SQLite in different programming languages and frameworks (e.g., Python, Java, Node.js).
• Practical Projects: Building and managing sample projects using SQLite, such as small applications or data management tools.
• Case Studies: Analyzing real-world examples of SQLite implementations to understand best practices and solutions.

Who Should Take This Course?

• Developers: Programmers who need to use SQLite for embedded applications or small-scale projects.
• Database Administrators: Individuals responsible for managing SQLite databases in various environments.
• Students and Learners: Anyone interested in learning about relational databases and SQLite’s unique features.
• Data Analysts: Analysts who need to work with SQLite for data analysis and reporting tasks.

Learning Outcomes:

By the end of the course, you should be proficient in using SQLite to create, manage, and query databases. You’ll understand how to design efficient schemas, optimize performance, ensure data security, and integrate SQLite with applications. Additionally, you’ll be able to apply your knowledge through hands-on projects and real-world scenarios.