ORACLE SQL CERTIFIED 🗄 Oracle SQL 12C (Exam 1Z0-061) Practical Industry Curriculum with SQL Developer Labs.

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⚡ ORACLE SQL 12C MASTERCLASS • EXAM 1Z0-061 ALIGNED

SQL & Relational Database Mastery

Master enterprise database querying, relational architecture, advanced joins, subqueries, SET operators, data manipulation (DML/DDL), and database administration views.

⏱ Duration: 2 Months

🗓 Batches: Weekdays & Weekend Special

📜 Exam Code: 1Z0-061 Aligned

💻 Tools: Oracle Database 12c & SQL Developer

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EXHAUSTIVE SYLLABUS

Oracle SQL 12C Complete Curriculum

A step-by-step modular journey from database fundamentals to high-performance enterprise query optimization.

1. Introduction to Oracle Database

Foundation

Features of Oracle Database 12c & enterprise architecture
Basic design, theoretical, and physical aspects of relational databases (RDBMS)
Categorizing SQL statements: DQL, DML, DDL, DCL, and TCL
Exploring sample business data schemas & table relationships
Logging on via SQL Developer environment & executing script files
Saving queries, organizing worksheets, and exporting query outputs

2. Retrieve Data Using SQL SELECT

₹5,000

Capabilities of SQL SELECT statements (Projection & Selection)
Generating reports from basic SELECT queries
Selecting all columns vs selecting specific column subsets
Column aliases, custom headings, and column heading defaults
Arithmetic operators and operator precedence in expressions
DESCRIBE command to inspect table structures, nullability, and data types

3. Learn to Restrict & Sort Data

₹5,000

Writing queries with WHERE clauses to limit retrieved rows
Comparison operators (=, <>, !=, >, <, >=, <=, BETWEEN, IN, LIKE, IS NULL)
Logical operators (AND, OR, NOT) & rules of precedence
Using character string literals and case-sensitivity handling in filters
ORDER BY clause: Ascending (ASC) and Descending (DESC) sorting
Sorting by column alias, multiple columns, and positional expressions

4. Single-Row Functions to Customize Output

₹5,000

Differences between single-row functions and multiple-row group functions
Character functions: UPPER, LOWER, INITCAP, CONCAT, SUBSTR, LENGTH, INSTR, LPAD, RPAD, TRIM, REPLACE
Numeric manipulation with ROUND, TRUNC, and MOD functions
Date arithmetic: adding/subtracting days and calculating intervals
Date functions: MONTHS_BETWEEN, ADD_MONTHS, NEXT_DAY, LAST_DAY, ROUND, and TRUNC

5. Conversion Functions & Conditional Logic

₹5,000

Implicit vs explicit data type conversion rules
TO_CHAR, TO_NUMBER, and TO_DATE format model conversions
Nesting multiple functions for multi-step data transformations
Handling NULL values with NVL, NVL2, NULLIF, and COALESCE functions
Conditional expressions: CASE statements and Oracle DECODE function

6. Aggregate Data Using Group Functions

₹5,000

Aggregation functions: COUNT, SUM, AVG, MIN, and MAX
Dividing table datasets into groups using the GROUP BY clause
Grouping by multiple columns & aggregating subsets
Filtering aggregated groups using the HAVING clause
Key differences and rules: WHERE vs HAVING clauses

7. Display Data From Multiple Tables (Joins)

₹5,000

Cartesian product / Cross Joins and why they occur
Inner Joins (Equijoins & Non-Equijoins) using ON and USING clauses
Self Joins for hierarchical data (Employees & Managers)
Left Outer Join, Right Outer Join, and Full Outer Join syntax
Natural Joins and multi-table join chains

8. Use Subqueries to Solve Complex Queries

₹5,000

Understanding business problems that require subqueries
Single-row subqueries using standard relational operators
Multiple-row subqueries using IN, ANY, and ALL operators
Subqueries in WHERE, HAVING, and FROM clauses (Inline Views)
Correlated subqueries and EXISTS / NOT EXISTS operators

9. The SET Operators

₹5,000

UNION operator: combining queries and removing duplicates
UNION ALL operator: combining queries with duplicate retention
INTERSECT operator: retrieving common rows between datasets
MINUS operator: finding unique rows in primary dataset
Matching column counts, compatible datatypes, and controlling sort orders

10. Data Manipulation Statements (DML)

₹5,000

INSERT statement: inserting single rows and bulk rows
UPDATE statement: modifying existing table records
DELETE statement: removing specific records based on conditions
Transaction management: COMMIT, ROLLBACK, and SAVEPOINT
Read consistency, locking mechanisms, and isolation levels

11. DDL Statements to Create & Manage Tables

₹5,000

Categorizing database schema objects (Tables, Views, Indexes, Sequences)
Data types: VARCHAR2, CHAR, NUMBER, DATE, TIMESTAMP, CLOB, BLOB
CREATE TABLE statement and CREATE TABLE AS SELECT (CTAS)
Defining constraints: PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL, CHECK
Column-level vs table-level constraint declarations

12. Schema Objects: Views, Sequences & Indexes

₹5,000

Creating simple and complex Views for security and reporting
Retrieving data from Views and DML operations on Views
Creating, altering, and utilizing SEQUENCES for primary keys
Creating and maintaining B-Tree Indexes for performance tuning
Creating private and public SYNONYMS for schema masking

13. Control User Access & Database Security

₹5,000

Differentiating system privileges from object privileges
Creating database users and granting login/system privileges
Creating and granting privileges to ROLES for group administration
Changing user passwords and enforcing profile constraints
Granting and revoking object privileges with WITH GRANT OPTION

14. Schema Object Management & Flashback

₹5,000

ALTER TABLE: Add, Modify, Rename, and Drop columns
Enabling, disabling, cascading, and deferring constraints
Creating Function-Based Indexes for optimized lookups
Performing Flashback Table and Flashback Drop operations
Creating external tables using ORACLE_LOADER and ORACLE_DATAPUMP

15. Data Dictionary Views Management

₹5,000

Understanding the Oracle Data Dictionary architecture
Querying USER_*, ALL_*, and DBA_* system views
Inspecting table metadata, column definitions, and constraint structures
Tracking database views, sequences, indexes, and synonym definitions
Adding descriptive comments to tables and columns

16. Large Data Sets & Multi-Table Inserts

₹5,000

Subqueries for large-scale data manipulation and transformation
Using Subqueries as data source and insert target
Enforcing integrity using the WITH CHECK OPTION keyword on DML
Unconditional and Conditional Multi-table INSERT statements
Pivoting data using Multi-table INSERT ALL / FIRST commands

INDUSTRY LAB STACK

Database Tools & Engines Mastered

Develop production-level SQL proficiency across industry-standard relational database systems.

🗄 Oracle Database 12c / 19c

💻 Oracle SQL Developer

🐬 MySQL Workbench

🐘 PostgreSQL & pgAdmin

⚡ SQL*Plus CLI

📊 DBeaver Database GUI

🔗 Data Modeling & ER Diagrams

🚀 Query Performance Optimization

CAREER PATHWAYS

High-Growth Job Roles

SQL is the backbone of all modern technology stacks, data analytics, and backend engineering.

📊 SQL & Data Analyst

Extract, aggregate, and transform complex enterprise databases into business insights and KPI reports for stakeholders.

🗄 Database Developer / DBA

Design normalized relational schemas, write optimized stored procedures, triggers, views, and manage database security.

💼 Business Intelligence Engineer

Build robust SQL ETL pipelines that feed live dashboards in Power BI, Tableau, and automated reporting systems.

Enroll in SQL Database Mastery

Join our weekend or weekday practical batches with live database instances and 100+ real-world query exercises.

✓ 100+ Practical SQL Query Challenges & Solutions
✓ 1Z0-061 Oracle Certification Exam Question Bank
✓ Live SQL Developer Lab Environment Setup Support
✓ 1-on-1 Mentorship & Interview Prep Support

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