๐ŸŽฏ 1-on-1 & Live Batch Available

Oracle 19c SQL Training

Master Oracle 19c SQL Fundamentals, Relational Database Modeling, Subqueries, Joins, DDL/DML, Constraints, Views, Sequences, and Analytical Functions.

Course Highlights & Specs

Training Mode: 1-on-1 & Live Online
Practical Duration: 60+ Hours Hands-On
Lab Access: 24/7 Dedicated Remote Labs
Placement: 100% Support & Mock Drills
Complete Curriculum

Course Syllabus & Training Portion

Step-by-step module breakdown from fundamentals to production troubleshooting & placement preparation.

Module 1 Live Hands-On Lab

Relational Database Concepts & Introduction to Oracle 19c

  • โœ“ Relational Database Management System (RDBMS) Concepts
  • โœ“ Relational Database Modeling, Entities & Tables Structure
  • โœ“ Oracle 19c SQL Tools Overview (SQL*Plus & SQL Developer)
  • โœ“ Executing Basic SELECT Statements & Column Aliases
Module 2 Live Hands-On Lab

Restricting & Sorting Query Data

  • โœ“ Filtering Rows with WHERE Clause (Comparison & Logical Operators)
  • โœ“ Sorting Output using ORDER BY Clause (ASC & DESC)
  • โœ“ Using BETWEEN, IN, LIKE, and NULL Conditions
  • โœ“ Substitution Variables (& and &&) for Dynamic Parameterized Queries
Module 3 Live Hands-On Lab

Single-Row Functions & Data Type Conversions

  • โœ“ Character Functions (UPPER, LOWER, INITCAP, CONCAT, SUBSTR, LENGTH)
  • โœ“ Numeric Functions (ROUND, TRUNC, MOD) & Date Functions (SYSDATE, ADD_MONTHS)
  • โœ“ Data Type Conversion Functions (TO_CHAR, TO_DATE, TO_NUMBER)
  • โœ“ General Functions (NVL, NVL2, NULLIF, COALESCE, CASE, DECODE)
Module 4 Live Hands-On Lab

Reporting Aggregated Data Using Group Functions

  • โœ“ Aggregate Functions (AVG, COUNT, MAX, MIN, SUM)
  • โœ“ Grouping Data using GROUP BY Clause
  • โœ“ Filtering Group Results using HAVING Clause
  • โœ“ Nested Group Functions & Aggregation Rules
Module 5 Live Hands-On Lab

Displaying Data from Multiple Tables Using Joins

  • โœ“ Oracle Proprietary vs ANSI SQL:1999 Join Syntax
  • โœ“ Equijoins, Non-Equijoins & Self Joins
  • โœ“ INNER JOIN, LEFT OUTER JOIN, RIGHT OUTER JOIN & FULL OUTER JOIN
  • โœ“ Cartesian Products (CROSS JOIN) Prevention
Module 6 Live Hands-On Lab

Using Subqueries to Solve Complex Data Retrieval Queries

  • โœ“ Single-Row Subqueries (Operators: =, >, <, >=, <=, <>)
  • โœ“ Multiple-Row Subqueries (Operators: IN, ANY, ALL)
  • โœ“ Correlated Subqueries & EXISTS / NOT EXISTS Operators
  • โœ“ Subqueries in FROM Clause (Inline Views)
Module 7 Live Hands-On Lab

Using Set Operators

  • โœ“ Combining Query Results using UNION & UNION ALL
  • โœ“ Finding Common Records using INTERSECT
  • โœ“ Finding Difference using MINUS Operator
  • โœ“ Guidelines & Matching Data Types in Set Operations
Module 8 Live Hands-On Lab

Data Manipulation Language (DML) & Transaction Control

  • โœ“ Inserting Rows using INSERT Statement & Multi-table Inserts
  • โœ“ Updating Existing Data using UPDATE Statement
  • โœ“ Deleting Rows using DELETE & TRUNCATE Statements
  • โœ“ MERGE Statement for Conditional Upsert Operations
  • โœ“ Transaction Control Language (TCL): COMMIT, ROLLBACK & SAVEPOINT
Module 9 Live Hands-On Lab

Data Definition Language (DDL) & Schema Objects

  • โœ“ Creating Tables with Data Types (VARCHAR2, NUMBER, DATE, TIMESTAMP, CLOB)
  • โœ“ Managing Table Constraints (PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL, CHECK)
  • โœ“ Modifying Table Structures (ALTER TABLE, ADD, MODIFY, DROP COLUMN)
  • โœ“ Dropping Tables & Oracle Recycle Bin Management (FLASHBACK TABLE)
Module 10 Live Hands-On Lab

Managing Views, Sequences, Indexes & Synonyms

  • โœ“ Creating Simple & Complex Views (WITH READ ONLY, WITH CHECK OPTION)
  • โœ“ Creating & Using Sequences for Auto-Incrementing Primary Keys
  • โœ“ Creating B-Tree & Bitmap Indexes for Query Performance
  • โœ“ Public & Private Synonyms Creation
Module 11 Live Hands-On Lab

Data Dictionary Views & Schema Metadata

  • โœ“ Querying Data Dictionary Views (USER_TABLES, USER_CONSTRAINTS, USER_VIEWS)
  • โœ“ Analyzing Table Metadata, Indexes & Column Information
  • โœ“ Schema Object Ownership & Privilege Management
Module 12 Live Hands-On Lab

Advanced Analytical & Window Functions

  • โœ“ Ranking Data using RANK(), DENSE_RANK() & ROW_NUMBER()
  • โœ“ Window Aggregate Functions (OVER, PARTITION BY, ORDER BY)
  • โœ“ Lead and Lag Analysis using LAG() & LEAD() Functions
  • โœ“ Conditional Data Aggregations
Module 13 Live Hands-On Lab

Real-Time Projects, SQL Optimization & Placement Prep

  • โœ“ Real-World E-Commerce & Financial Data Modeling Project
  • โœ“ SQL Query Performance Tuning & Execution Plan Analysis (EXPLAIN PLAN)
  • โœ“ ATS-Friendly Resume Building & 1-on-1 Technical Mock Interviews
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Course Overview & Key Benefits

Comprehensive hands-on training covering Oracle 19c SQL fundamentals, advanced queries, joins, subqueries, DDL/DML, and database objects.

  • โœ“ Oracle 19c SQL Fundamentals mastery
  • โœ“ Complex Joins & Subquery expertise
  • โœ“ Data Modeling & Schema Objects
  • โœ“ 100% Placement & Interview guidance
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Tools & Stack Covered

Enterprise software, diagnostic tools, and admin command utilities mastered during training:

Oracle 19c SQL*Plus SQL Developer PL/SQL Linux
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Real-World Outage Scenarios

Live production scenarios solved during lab training:

  • โœ“ E-Commerce Data Modeling Project
  • โœ“ Financial Transaction Query Optimization
  • โœ“ Enterprise Reporting Database Design

Course FAQs

Is Oracle 19c SQL Training suitable for beginners?

Yes! This course starts from foundational database concepts and builds up to advanced SQL queries, joins, subqueries, and database object management.

Do I get hands-on SQL practice labs?

Yes. Every student gets 24/7 dedicated access to an Oracle 19c database environment to practice writing real-world SQL queries.