Master the fundamentals of relational databases and learn how to write powerful SQL queries using Oracle Database. This hands-on course teaches you how to retrieve, analyze, and manage structured data while building practical database skills used in analytics, reporting, and application development.
Master Oracle SQL from fundamentals to advanced queries
Write real-world SQL queries for business data analysis
Learn joins, subqueries, aggregations, and data manipulation
Build strong database foundations for analytics and development
Beginner-friendly — no prior SQL experience required
Beginners starting their journey in databases and SQL
Students preparing for Data Analyst or Database roles
Aspiring Backend or Application Developers
IT professionals transitioning into data-focused careers
Business professionals working with structured data
Anyone preparing for roles requiring SQL proficiency
Learn Oracle SQL through structured Skill Sprints
Delivered using OCA’s Skill Sprint™ Method with hands-on practice and instructor-led feedback
Master filtering, sorting, and conditional logic
Apply aggregate functions and GROUP BY analysis
Combine tables using joins and relational logic
Implement subqueries and set operators
Create and manage tables, constraints, and transactions
Oracle SQL for Beginners is a structured, hands-on training program designed to build strong foundations in relational databases and SQL querying using Oracle Database. This course focuses on practical data retrieval, filtering, aggregation, and table management techniques required for real-world business and technical environments.
Participants learn how to write efficient SQL queries, apply joins and subqueries, perform grouped analysis, and manage data using transactional control. The course emphasizes structured problem-solving and hands-on query development to ensure learners can confidently work with relational databases in professional settings.
Upon completion, participants will be able to retrieve, manipulate, and analyze structured data using Oracle SQL and apply these skills in analytics, reporting, and application development roles.
The following basic skills are recommended to maximize learning outcomes:
Basic computer literacy
Familiarity with spreadsheets (such as Excel) is helpful but not mandatory
Understanding of basic data concepts (rows, columns, tables) is beneficial
No prior SQL or database experience required
By the end of this course, you will be able to:
Understand relational database fundamentals and Oracle SQL syntax
Retrieve and manipulate data using SELECT, WHERE, and ORDER BY
Apply logical operators and conditional expressions
Use built-in SQL functions for data transformation
Perform aggregations using SUM, AVG, COUNT, GROUP BY, and HAVING
Combine multiple tables using INNER, LEFT, RIGHT, and FULL joins
Write single-row, multi-row, and correlated subqueries
Use set operators such as UNION, INTERSECT, and MINUS
Create tables with appropriate data types and constraints
Insert, update, delete, and manage transactions using COMMIT and ROLLBACK
Create and manage views for simplified querying and reporting
Solve real-world business data problems using structured SQL queries
This course prepares learners for entry-level and early-intermediate data and database roles, including:
SQL Developer (Junior Level)
Data Analyst (Entry-Level)
Business Intelligence Analyst (Foundation Level)
Database Support Executive
Backend Application Developer (SQL-Focused)
Reporting Analyst
MIS Executive
This course follows our proprietary OCA Skill Sprint Method — a structured approach focused on clear goals, hands-on practice, real-world application, and measurable performance.
Skill Goal:
Develop foundational understanding of databases, relational concepts, and Oracle SQL syntax.
Skills Developed:
Explain relational database concepts and SQL fundamentals
Understand Oracle Database architecture basics
Write and execute basic SQL queries
Interpret query results accurately
Sprint Outcome:
Ability to understand database structures and execute foundational SQL queries.
Skill Goal:
Configure and use Oracle SQL tools for query execution and development.
Skills Developed:
Use Oracle LiveSQL and Oracle SQL Developer
Create nd manage database workspaces
Write and execute SQL scripts
Manage query output and execution settings
Sprint Outcome:
Ability to independently set up and operate within an Oracle SQL environment.
Skill Goal:
Write efficient SELECT statements to retrieve and organize data.
Skills Developed:
Use SELECT statements to retrieve data
Filter results using WHERE clauses
Sort results using ORDER BY
Apply DISTINCT and column aliases
Sprint Outcome:
Ability to retrieve, filter, and structure query results effectively.
Skill Goal:
Use logical and comparison operators to refine data retrieval.
Skills Developed:
Apply logical and comparison operators
Use BETWEEN, IN, LIKE, and NULL conditions
Combine multiple conditions using AND and OR
Construct complex filtering logic
Sprint Outcome:
Ability to write precise conditional queries for business scenarios.
Skill Goal:
Enhance query results using built-in Oracle functions and expressions.
Skills Developed:
Apply text, numeric, and date functions
Use conditional expressions such as CASE and NVL
Perform calculations within queries
Format query output for reporting purposes
Sprint Outcome:
Ability to manipulate and transform data using SQL functions.
Skill Goal:
Summarize and analyze grouped data using aggregate functions.
Skills Developed:
Use aggregate functions (SUM, AVG, COUNT, MIN, MAX)
Apply GROUP BY clauses
Filter grouped results using HAVING
Solve practical aggregation scenarios
Sprint Outcome:
Ability to generate summarized insights from structured datasets.
Skill Goal:
Retrieve related data from multiple tables using join operations.
Skills Developed:
Implement INNER, LEFT, RIGHT, and FULL joins
Use self joins and cross joins
Understand primary and foreign key relationships
Analyze relational data across multiple tables
Sprint Outcome:
Ability to combine and analyze relational datasets effectively.
Skill Goal:
Develop advanced data retrieval logic using subqueries and set operators.
Skills Developed:
Write single-row and multi-row subqueries
Implement correlated subqueries
Use subqueries in SELECT, FROM, and WHERE clauses
Apply set operators (UNION, UNION ALL, INTERSECT, MINUS)
Combine multiple result sets efficiently
Sprint Outcome:
Ability to construct advanced SQL queries for complex business requirements.
Skill Goal:
Create tables and manage data within Oracle databases.
Skills Developed:
Define data types and constraints
Create and modify tables
Insert, update, and delete records
Manage transactions using COMMIT and ROLLBACK
Sprint Outcome:
Ability to manage database tables and maintain data integrity.
Skill Goal:
Simplify and secure data access using database views.
Skills Developed:
Create and modify views
Use views for simplified data retrieval
Understand use cases for views in reporting and security
Sprint Outcome:
Ability to create reusable query structures using views.
Project Goal:
Design and execute a structured SQL solution to analyze and manage a real-world relational dataset.
Skills Demonstrated:
Analyze business data requirements
Write optimized SELECT queries
Apply joins, subqueries, and aggregations
Implement conditional logic and functions
Manage tables and transactional updates
Create reusable views for reporting
Instructor-Led: Live Online & In-Class
32 Total Hours
Beginner Level
Real-World Project
Career-Focused
Structured data powers nearly every modern organization. From banking and healthcare to retail and technology, businesses rely on relational databases to store, manage, and analyze critical information. SQL remains the universal language for working with relational databases, and Oracle Database continues to be widely used in enterprise systems across many industries.
As organizations increasingly depend on data-driven decision-making, professionals who can retrieve, analyze, and manipulate structured data are in high demand. SQL skills are foundational for analytics, reporting, business intelligence, and backend application development.
This course addresses the growing demand for:
SQL skills required for Data Analyst, BI, and reporting roles
Database knowledge used in enterprise systems and applications
Data querying skills needed for business intelligence and analytics
Professionals who can work with structured data efficiently
Strong foundational database skills for advanced data and analytics careers
SQL remains one of the most requested technical skills in modern job postings and continues to be a core competency for professionals working with data.
This course is ideal for beginners starting their journey in databases, students preparing for data or analytics roles, backend or application developers, and business professionals who work with structured data and reporting.
No prior SQL or database experience is required. The course starts with foundational relational database concepts and progressively builds toward advanced querying and data manipulation skills. Basic computer literacy and familiarity with spreadsheets are helpful but not mandatory.
Participants will learn relational database fundamentals, Oracle SQL syntax, data retrieval using SELECT statements, filtering and sorting, joins, subqueries, aggregate functions, table creation, data manipulation (INSERT, UPDATE, DELETE), transactions, and view creation. The course concludes with a hands-on applied SQL project based on real business scenarios.
This course prepares learners for entry-level roles such as SQL Developer (Junior), Data Analyst, Reporting Analyst, Business Intelligence Analyst, Database Support Executive, MIS Executive, and Data Operations Associate. It also builds a strong foundation for advanced analytics and backend development roles.
Yes. The program is designed for working professionals who want to upskill in database querying and data analysis. The structured Skill Sprint Method ensures efficient, practical learning that can be applied directly in professional environments.
The total duration is 32 hours, consisting of 16 hours of instructor-led live sessions along with 16 hours of guided hands-on practice and assignments. This balanced structure ensures both conceptual clarity and practical application.
Yes. This is an instructor-led course delivered in both live online and in-class formats. Participants engage in real-time discussions, demonstrations, and guided exercises.
Participants will use Oracle LiveSQL and Oracle SQL Developer to write, execute, and manage SQL queries in a professional development environment.
Yes. Participants who successfully complete the course and final project will receive a Certificate of Completion from OCA.
Yes. Corporate and group training options are available and can be customized to align with organizational learning objectives and industry use cases.
Registration can be completed through the course page on the OCA website or by contacting the admissions team for enrollment assistance and schedule details.
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