What You'll Learn:

1. Introduction to Databases and SQL:
• Understand what databases are and why they are important in software development.
• Learn the difference between relational and non-relational databases.
• Set up your SQL environment (MySQL, PostgreSQL, or other relational databases).
2. Basic SQL Queries:
• Learn the fundamentals of SQL syntax, including how to write basic queries.
• Perform SELECT statements to retrieve data from a database.
• Use WHERE clauses to filter data based on conditions.
3. Working with SQL Data Types:
• Understand the various data types available in SQL such as INTEGER, VARCHAR, DATE, etc.
• Learn how to work with NULL values, unique constraints, and default values.
• Handle type conversions and casting in SQL queries.
4. Advanced SELECT Statements:
• Learn how to perform complex queries using aggregate functions like SUM, AVG, COUNT, MAX, and MIN.
• Use GROUP BY and HAVING clauses for grouping and filtering aggregated data.
• Implement ORDER BY to sort query results by ascending or descending order.
5. Joins and Subqueries:
• Master the concept of SQL joins, including INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.
• Use subqueries to perform nested queries and enhance the flexibility of your queries.
• Combine data from multiple tables efficiently to retrieve meaningful results.
6. SQL Functions and Operators:
• Learn how to use built-in SQL functions for string manipulation, date/time handling, and math operations.
• Explore logical operators like AND, OR, and NOT for creating complex conditions.
• Use SQL CASE statements for conditional logic within queries.
7. Data Insertion, Updates, and Deletion:
• Learn how to insert data into tables using INSERT statements.
• Update existing records using the UPDATE command and handle conditional updates.
• Remove data from tables with the DELETE command while ensuring data integrity.
8. Database Design and Normalization:
• Understand the principles of database design and normalization (1NF, 2NF, 3NF).
• Learn how to design efficient database schemas to minimize redundancy and improve performance.
• Implement primary and foreign keys for maintaining relationships between tables.
9. Constraints and Indexes:
• Use SQL constraints like UNIQUE, PRIMARY KEY, FOREIGN KEY, and CHECK to enforce data integrity.
• Understand how indexing works and how to create indexes for faster query performance.
• Learn when and how to apply indexes effectively.
10. Transactions and ACID Properties:
• Understand the concept of database transactions and their importance in ensuring data consistency.
• Learn about the ACID properties (Atomicity, Consistency, Isolation, Durability) of transactions.
• Implement transaction control commands such as COMMIT, ROLLBACK, and SAVEPOINT.
11. Stored Procedures and Functions:
• Learn how to create and use stored procedures for reusable SQL code.
• Implement functions to perform calculations and return values.
• Understand the difference between procedures and functions and how to use them efficiently.
12. Views and Triggers:
• Learn how to create and use views to simplify complex queries.
• Use triggers to automate database tasks like auditing and data validation.
• Implement before and after triggers to enhance database functionality.
13. Security and User Management in SQL:
• Learn how to manage user privileges and roles within a database.
• Implement best practices for securing sensitive data.
• Use GRANT and REVOKE commands to control database access.
14. Backup and Recovery:
• Understand the importance of backing up data and recovering from potential failures.
• Learn how to back up SQL databases and perform restores.
• Implement point-in-time recovery strategies for ensuring data availability.
15. Working with APIs and SQL in Java:
• Integrate SQL queries with Java applications using JDBC (Java Database Connectivity).
• Perform database operations from Java code and handle exceptions.
• Build backend applications using SQL for data storage and retrieval.
16. Performance Optimization:
• Learn how to optimize SQL queries for faster execution.
• Use EXPLAIN plans to analyze query performance and identify bottlenecks.
• Implement best practices for writing efficient SQL code and handling large datasets.
17. Capstone Project:
• Build a database-driven application that integrates with your Java projects.
• Design and implement a relational database schema based on a real-world scenario.
• Perform complex queries, manage transactions, and ensure data integrity within your project.

Course Highlights:

• Daily Assignments and Challenges: Reinforce your learning with practical SQL exercises and tasks.
• Project-Based Learning: Build real-world database projects and integrate SQL with Java applications.
• Interactive Doubt Sessions: Attend regular live sessions to clarify doubts and strengthen your concepts.
• Completion Certificate: Earn a certificate validating your SQL expertise upon course completion.
• Downloadable Resources: Access SQL queries, sample databases, and additional learning materials.

Who Should Take This Course?

• Java Developers: Those looking to enhance their skills by integrating SQL with Java applications.
• Backend Developers: Developers aiming to master database management and build efficient data-driven systems.
• Data Analysts: Analysts wanting to strengthen their database querying skills for data analysis and reporting.
• Beginners: Individuals with no prior experience in SQL who want to learn relational database management.

Duration: 30 Days

Prerequisites: No prior SQL knowledge required, though basic familiarity with Java or web development is beneficial.