• Build a strong foundation in Oracle SQL and relational database concepts.

• Create and manage tables, indexes, and views for efficient data organization.

• Use DML commands to insert, update, delete, and retrieve data.

• Write advanced SQL queries with joins, subqueries, unions, and CTEs.

• Apply Oracle’s built-in functions for calculations, string, and date operations.

• Summarize data using GROUP BY and HAVING for business insights.

• Manage users, roles, and permissions to maintain database security.

• Optimize SQL queries and analyze execution plans for better performance.

• Develop PL/SQL programs with procedures, functions, and triggers.

• Implement control structures and exception handling for robust applications.

• Create reports and views that simplify data analysis and enhance accessibility.

• Participants should have basic computer skills, including the ability to navigate file systems and use software applications efficiently. 

• Experience with Microsoft Excel helps with data organization and manipulation skills, which can be useful for understanding data handling in SQL. 

This training will equip you for the following job roles and career paths:  

• Database Administrator (DBA) 

• SQL Developer 

• Data Analyst 

• Data Engineer 

• Business Intelligence (BI) Developer 

Module 1: Introduction to Oracle SQL 

• Overview of Database Concepts 

• Understanding Relational Databases 

• Introduction to Oracle Database Architecture 

• Installing Oracle Database Express Edition 

Module 2: Getting Started with SQL 

• Understanding SQL and its Importance 

• Connecting to the Oracle Database 

• SQL Syntax and Structure 

• Executing Basic SQL Commands 

Module 3: Data Querying Techniques 

• Writing Basic SELECT Statements 

• Filtering Data with the WHERE Clause 

• Sorting Data with the ORDER BY Clause 

• Using DISTINCT to Eliminate Duplicates 

Module 4: Working with Functions and Expressions 

• Built-in Functions: String, Numeric, and Date Functions 

• Manipulating Data with SQL Expressions 

• Using CASE Statements for Conditional Logic 

• Aggregating Data with GROUP BY and HAVING Clauses 

Module 5: Joins and Subqueries 

• Understanding Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN 

• Joining Multiple Tables and Self-Joins 

• Writing and Executing Subqueries 

• Using Correlated Subqueries 

Module 6: Advanced SQL Techniques 

• Using Set Operators: UNION, INTERSECT, MINUS 

• Window Functions and Analytic Queries 

• Pivoting and Unpivoting Data 

Module 7: Data Definition Language (DDL) 

• Understanding DDL Statements 

• Creating, Altering, and Dropping Tables 

• Working with Constraints (Primary Key, Foreign Key, UNIQUE, CHECK) 

• Creating and Managing Indexes 

Module 8: Data Manipulation Language (DML) 

• Inserting Data into Tables 

• Updating Existing Records 

• Deleting Records from Tables 

• Using Transactions and Understanding COMMIT and ROLLBACK 

Module 9: Managing User Security and Permissions 

• Understanding Users and Roles in Oracle Database 

• Granting and Revoking Privileges 

• Implementing Row-Level Security 

• Best Practices for Database Security 

Module 10: Performance Tuning and Best Practices 

• Analyzing Query Performance 

• Understanding Execution Plans 

• Indexing Strategies for Performance Improvement 

• Best Practices for Writing Efficient SQL Queries 

Module 11: Introduction to PL/SQL 

• Understanding PL/SQL: Overview and Benefits 

• Structure of PL/SQL Code Blocks 

• Variables, Constants, and Data Types in PL/SQL 

• Exercise: Write a simple PL/SQL block to declare variables and perform basic operations. 

Module 12: Advanced PL/SQL Programming 

• Control Structures: IF Statements, Loops (FOR, WHILE) 

• Exception Handling in PL/SQL 

• Writing Stored Procedures and Functions 

• Exercise: Create a PL/SQL procedure to perform a specific database operation (e.g., updating records). 

Module 13: Triggers and Cursors 

• Understanding and Creating Triggers 

• Using Cursors: Implicit vs. Explicit Cursors 

• Managing Cursor Lifecycle 

• Exercise: Write triggers to automate tasks in a table and work with cursors to process data row by row. 

Module 14: Optimization and Best Practices 

• Query Optimization Techniques: Analyzing Execution Plans 

• Best Practices for Writing Efficient SQL and PL/SQL Code 

• Overview of Security Measures in Database Management 

• Exercise: Analyze the performance of a given SQL query and apply optimization techniques to improve execution time.