• Gain a solid understanding of Oracle SQL fundamentals, including database structure, schemas, and the role of SQL in data management. 

• Learn to write efficient SQL queries using SELECT, WHERE, ORDER BY, and DISTINCT to retrieve and filter data effectively. 

• Understand how to join multiple tables using INNER, LEFT, RIGHT, and FULL joins to combine and analyze related datasets. 

• Develop the ability to use aggregate functions like SUM, AVG, COUNT, MIN, and MAX with GROUP BY and HAVING for meaningful data summaries. 

• Learn to create and manage database objects, including tables, constraints, and views. 

• Master data manipulation operations such as INSERT, UPDATE, and DELETE to maintain and modify data accurately. 

• Gain hands-on experience using Oracle SQL Developer and LiveSQL for writing, testing, and managing SQL scripts. 

• Apply real-world SQL concepts through case studies and exercises designed to solve practical data challenges. 

• Build the confidence and expertise needed to pursue roles in database development, data analysis, and Oracle SQL administration. 

• Basic Computer Knowledge: Familiarity with operating systems, file management, and general computer usage is required. 

• Optional Excel Experience: Prior experience with Excel formulas or pivot tables can make it easier to grasp querying and data aggregation techniques. 

• No Prior SQL Experience Needed: This course starts with the fundamentals and gradually builds to intermediate and advanced Oracle SQL concepts. 

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

• Oracle SQL Developer 

• Database Analyst 

• Data Analyst 

• Business Intelligence Developer 

• Database Administrator (DBA) 

• Data Engineer 

• Reporting Specialist
  ETL Developer 

Module 1: Getting Started with Oracle SQL
• Introduction to Databases and SQL
• Understanding Oracle Database and SQL Syntax
• Executing Your First Queries in Oracle 

Module 2: Setting Up the Environment
• Using Oracle LiveSQL and Oracle SQL Developer
• Creating and Managing Workspaces
• Writing and Executing SQL Scripts 

Module 3: Select Queries in Oracle
• Understanding the SELECT Statement
• Filtering and Sorting Data
• Using DISTINCT and Aliases 

Module 4: Working with Conditions and Operators
• Logical and Comparison Operators
• BETWEEN, IN, LIKE, and NULL Conditions
• Combining Multiple Conditions with AND/OR 

Module 5: Functions and Expressions
• Text, Numeric, and Date Functions
• Conditional Expressions (CASE, NVL)
• Using Expressions in Queries 

Module 6: Aggregations and GROUP BY
• Using Aggregate Functions (SUM, AVG, COUNT, etc.)
• Grouping and Filtering Data with GROUP BY and HAVING
• Practical Aggregation Scenarios 

Module 7: Joins
• INNER, LEFT, RIGHT, and FULL Joins
• Self Joins and Cross Joins
• Understanding Primary and Foreign Keys 

Module 8: Working with Subqueries
• Single-Row and Multi-Row Subqueries
• Correlated Subqueries
• Using Subqueries in SELECT, FROM, and WHERE Clauses 

Module 9: Mastering Set Operators
• UNION, UNION ALL, INTERSECT, and MINUS
• Combining Results from Multiple Queries
• Best Practices for Set Operations 

Module 10: Creating Tables and Inserting Data
• Data Types and Constraints
• Inserting, Updating, and Deleting Data
• Managing Transactions (COMMIT, ROLLBACK, SAVEPOINT) 

Module 11: Views and Materialized Views
• Creating and Managing Views
• Understanding Materialized Views and Refresh Options
• Comparing Views vs. Materialized Views