SQL Training & Certification – Classroom & Live Online

SQL Training & Certification in Kolkata, India & Live Online

Build practical SQL skills with instructor-led SQL Training & Certification from Palium Skills. The course is designed for beginners, working professionals, software developers, database professionals, Oracle professionals, data analysts and IT professionals who want to learn SQL from fundamentals through advanced querying and database operations. The training covers SQL fundamentals, SELECT statements, filtering, sorting, functions, joins, subqueries, aggregate functions, data manipulation, database objects, views, indexes, constraints and advanced SQL concepts. Participants can also learn SQL concepts relevant to Oracle databases, SQL Server, MySQL and Data Analytics, depending on the selected learning path. Training is available through classroom sessions in Kolkata and Live Online instructor-led sessions for participants across India and worldwide, including learners from the Middle East, Malaysia, Singapore, Europe, UK, Australia, USA and Africa.

SQL Training at Palium Skills

SQL, or Structured Query Language, is one of the most widely used skills for working with relational databases. SQL is used by software developers, database professionals, data analysts, business analysts, reporting professionals and IT teams to retrieve, analyse, manipulate and manage structured data. The Palium Skills SQL course combines SQL fundamentals with practical database querying and advanced SQL concepts. Participants learn how to:
  • Retrieve data from relational databases
  • Write SQL SELECT statements
  • Filter and sort data
  • Use SQL functions
  • Work with aggregate functions
  • Group and analyse data
  • Join multiple tables
  • Write subqueries
  • Use set operators
  • Insert, update and delete data
  • Create and modify database objects
  • Work with views, indexes and constraints
  • Use sequences and synonyms
  • Work with data dictionary information
  • Understand transactions and data integrity
  • Write advanced SQL queries
  • Use Common Table Expressions where applicable
  • Work with analytical/window functions where applicable
  • Apply SQL to data-analysis requirements
  • Prepare for SQL interviews and practical assignments

SQL Course Objectives

The objective of the training is to help participants develop a strong understanding of SQL and become comfortable writing SQL queries for real-world database and data-analysis requirements. By the end of the training, participants should be able to:
  • Understand relational database concepts
  • Write SQL queries from beginner to advanced levels
  • Retrieve and filter data efficiently
  • Combine information from multiple tables
  • Perform calculations and aggregations
  • Use subqueries and set operators
  • Manipulate database records
  • Create and manage database objects
  • Work with views, indexes and constraints
  • Understand transactions and data integrity
  • Analyse structured datasets using SQL
  • Develop SQL solutions for practical business requirements

SQL + PL/SQL Training Path

Participants interested in Oracle development can choose a broader SQL + PL/SQL learning path. This pathway builds SQL knowledge before introducing PL/SQL programming concepts such as:
  • Variables
  • Conditional statements
  • Loops
  • Cursors
  • Procedures
  • Functions
  • Exception handling
  • Packages
  • Database programming concepts
SQL forms the foundation for Oracle PL/SQL development, making this pathway useful for professionals interested in Oracle technical development.

SQL Training for Oracle Professionals

Oracle professionals can use SQL skills for database querying, application development, reporting and Oracle EBS technical work. The Oracle-oriented learning path can include practical SQL concepts using Oracle database environments, including SQL Developer and Oracle-specific SQL features where applicable. Participants looking for a broader Oracle technical development program can also explore Oracle EBS R12 Technical Developer training at Palium Skills.

SQL Training for Data Analysts

SQL is an important skill for Data Analysts because databases are a major source of business data. The SQL training can help aspiring and working Data Analysts develop skills in:
  • Data extraction
  • Data filtering
  • Data transformation
  • Aggregation
  • Joining datasets
  • Analytical calculations
  • Ranking
  • Trend analysis
  • Business reporting
SQL can also complement skills in Power BI, Excel, Python, Tableau and other data-analysis technologies.

SQL Training for Working Professionals

The course is suitable for working professionals who want to develop SQL skills for software development, database development, reporting, data analysis or career progression. Depending on batch availability, Palium Skills provides weekday and weekend learning options.

Who Should Join SQL Training?

The course is suitable for:
  • Fresh graduates
  • College students
  • Software developers
  • SQL Developers
  • Oracle Developers
  • Database professionals
  • Data Analysts
  • Business Analysts
  • Reporting professionals
  • QA and testing professionals
  • IT professionals
  • Oracle EBS technical professionals
  • Professionals preparing for SQL interviews
  • Working professionals seeking SQL certification
  • Beginners interested in database technologies
Basic computer knowledge is sufficient for the foundation-level course. Previous programming or database experience can be helpful for advanced SQL learning but is not mandatory for beginners.

SQL Training Faculty – J. B. Kumar

Experienced Oracle Technical Development Professional

J. B. Kumar is an experienced Oracle technical development professional with 15+ years of experience in Oracle technical development and enterprise application technologies. His professional experience includes working with Oracle technical development environments and enterprise IT projects in India. His experience with Oracle application technologies provides practical context for teaching SQL concepts used in enterprise database development, reporting and Oracle application environments. His training approach focuses on connecting SQL concepts with practical development requirements rather than treating SQL as a purely theoretical subject. Participants can benefit from practical guidance on areas such as:
  • SQL query development
  • Relational database concepts
  • Oracle database development
  • SQL for application development
  • SQL and PL/SQL integration
  • Database objects
  • Complex SQL queries
  • Oracle technical development
  • Enterprise application reporting
  • Oracle EBS-related technical concepts
This practical industry experience helps participants understand how SQL is applied in real development and enterprise application environments.

Classroom SQL Training in Kolkata

Palium Skills provides classroom SQL training in Kolkata for learners who prefer face-to-face instructor-led training.

South Kolkata Centre

1st Floor, Sheeba Bhavan 1/22 Poddar Nagar Near South City Mall Kolkata – 700068

Salt Lake Centre

5th Floor, RDB Boulevard Block GP, Salt Lake Electronic Complex Sector V Kolkata – 700091

Live Online SQL Training

Participants who cannot attend classroom sessions can join Live Online SQL Training from anywhere in India or overseas. The Live Online format is suitable for participants from:
  • India
  • Middle East
  • Malaysia
  • Singapore
  • Europe
  • United Kingdom
  • Australia
  • USA
  • Africa
The instructor-led online format allows participants to attend SQL classes without travelling to Kolkata.

SQL Training for India and International Participants

Palium Skills provides SQL learning options for participants across India as well as international learners who want instructor-led SQL training. The Live Online format is particularly suitable for working professionals and students located outside Kolkata or outside India.

SQL Course Options and Fees

SQL Fundamentals

Duration: Approximately 2 months Online Fee: ₹7,500 Classroom Fee: ₹8,000 Suitable for beginners and participants who want to build a strong foundation in SQL.

Developer SQL + PL/SQL

Course Fee: ₹16,000 Suitable for participants who want to combine SQL with Oracle PL/SQL development skills.

SQL Fundamentals Fast-Track

Course Fee: ₹10,000 Suitable for participants who want an accelerated SQL learning path. Course fees, schedules and batch structures may change. Contact Palium Skills for the latest course details and upcoming batch availability.

SQL Certification

Participants completing the applicable training program can receive a Palium Skills course completion certificate, subject to the relevant course completion requirements. The certification can document completion of SQL training and the areas covered in the selected learning path.

Why Choose Palium Skills for SQL Training?

Palium Skills combines instructor-led learning with practical technology training. Participants can benefit from:
  • Experienced IT professionals as trainers
  • Practical SQL exercises
  • Beginner-friendly learning
  • Advanced SQL concepts
  • SQL for Data Analytics
  • SQL + PL/SQL learning pathway
  • Oracle-oriented SQL learning
  • Classroom training in Kolkata
  • Live Online training
  • Weekday and weekend batch options
  • Training suitable for working professionals
  • Course completion certification
   

SQL Training Course Curriculum

Module 1: SQL and Relational Database Fundamentals

  • Introduction to relational databases
  • What is SQL?
  • SQL and relational database concepts
  • Tables, rows and columns
  • Primary keys and foreign keys
  • Relationships between tables
  • Database schemas
  • SQL development environments
  • Introduction to Oracle SQL and other relational database platforms
  • SQL standards and database-specific features

Module 2: SQL SELECT Statements

  • Introduction to SELECT
  • Selecting columns
  • Selecting rows
  • DISTINCT
  • Column aliases
  • Arithmetic expressions
  • Concatenation
  • NULL values
  • Basic SQL query structure
  • Writing readable SQL queries

Module 3: Filtering and Sorting Data

  • WHERE clause
  • Comparison operators
  • Logical operators
  • BETWEEN
  • IN
  • LIKE
  • IS NULL
  • AND / OR / NOT
  • ORDER BY
  • Sorting by multiple columns
  • Filtering practical datasets

Module 4: SQL Functions

  • Single-row functions
  • Character functions
  • Number functions
  • Date functions
  • Conversion functions
  • Conditional expressions
  • CASE expressions
  • NULL-handling functions
  • Using functions in SQL queries

Module 5: Aggregate Functions and Grouping

  • COUNT
  • SUM
  • AVG
  • MIN
  • MAX
  • GROUP BY
  • HAVING
  • Group-level calculations
  • Multiple grouping columns
  • Aggregating business data

Module 6: SQL Joins

  • Understanding table relationships
  • INNER JOIN
  • LEFT OUTER JOIN
  • RIGHT OUTER JOIN
  • FULL OUTER JOIN
  • Self joins
  • Multiple-table joins
  • Join conditions
  • Avoiding duplicate results
  • Practical join exercises

Module 7: Subqueries

  • Introduction to subqueries
  • Single-row subqueries
  • Multiple-row subqueries
  • Multiple-column subqueries
  • Correlated subqueries
  • Subqueries with SELECT
  • Subqueries with INSERT, UPDATE and DELETE
  • EXISTS and NOT EXISTS
  • Practical subquery exercises

Module 8: Set Operators

  • UNION
  • UNION ALL
  • INTERSECT
  • MINUS / EXCEPT where supported
  • Combining query results
  • Rules for set operations
  • Practical examples

Module 9: Data Manipulation Language

  • INSERT
  • UPDATE
  • DELETE
  • MERGE
  • Transaction concepts
  • COMMIT
  • ROLLBACK
  • SAVEPOINT
  • Data consistency
  • Practical DML exercises

Module 10: Data Definition Language

  • CREATE
  • ALTER
  • DROP
  • TRUNCATE
  • Creating tables
  • Modifying tables
  • Data types
  • Database object management

Module 11: Constraints and Data Integrity

  • Primary key constraints
  • Foreign key constraints
  • UNIQUE constraints
  • NOT NULL
  • CHECK constraints
  • Referential integrity
  • Constraint management
  • Practical data-integrity scenarios

Module 12: Views, Indexes, Sequences and Synonyms

  • Creating views
  • Modifying views
  • Using views for reporting
  • Introduction to indexes
  • Index considerations
  • Creating indexes
  • Sequences
  • Synonyms
  • Practical database-object exercises

Module 13: Advanced SQL

  • Common Table Expressions
  • WITH clause
  • Advanced subqueries
  • Complex joins
  • CASE expressions
  • Advanced aggregations
  • EXISTS and NOT EXISTS
  • MERGE
  • Advanced data manipulation
  • Complex reporting queries

Module 14: SQL Analytical and Window Functions

  • Introduction to analytical functions
  • OVER clause
  • PARTITION BY
  • ORDER BY within analytical functions
  • ROW_NUMBER
  • RANK
  • DENSE_RANK
  • LEAD
  • LAG
  • Ranking and comparison problems
  • Practical data-analysis scenarios

Module 15: SQL for Data Analytics

SQL is an important skill for Data Analysts because much of the data used for reporting and analytics is stored in relational databases. This module can cover:
  • Extracting analytical datasets
  • Filtering business data
  • Combining multiple data sources
  • Aggregating datasets
  • Calculating business metrics
  • Ranking records
  • Identifying trends
  • Using CTEs
  • Using window functions
  • Preparing data for analytics and reporting
  • SQL-based business analysis exercises

Module 16: Data Dictionary and Database Information

  • Understanding database metadata
  • Data dictionary concepts
  • Tables and columns
  • Constraints
  • Index information
  • Database object information
  • Understanding database structure through metadata

Module 17: SQL Security and Access

  • Database users
  • Privileges
  • GRANT
  • REVOKE
  • Access control concepts
  • Basic database security concepts

Module 18: SQL Performance and Query Optimization

  • Understanding SQL performance
  • Efficient query writing
  • Index considerations
  • Avoiding unnecessary data retrieval
  • Query optimization principles
  • Execution-plan concepts
  • Practical performance considerations
 

Enrol for SQL Training & Certification

Develop practical SQL skills with training covering SQL fundamentals, SELECT statements, functions, joins, subqueries, DML, DDL, database objects, advanced SQL, analytical functions and SQL for Data Analytics. Choose classroom training in Kolkata or Live Online instructor-led training from anywhere in India or worldwide. Contact: 8420594969 WhatsApp: 9903130500 Additional Contact: 7044871915 Email: info@paliumskills.com Website: www.paliumskills.com Palium Skills – Classroom & Live Online Training
Course NameDelivery ModeFeeSpecial Offer
SQL Fundamentals Classroom/Live Trainer Online ₹ 8,000 for live online / classroomDuration is 2 months / ₹500 off for admission in October 2026
Developer (SQL+PLSQL) Live Online / ClassroomRs. 16,000best offers for 3+ enrollments
SQL Fundamentals Fast-track Classroom training/1-1 ₹10,000 inclusive of taxesbest offers available

SQL, or Structured Query Language, is a language used to communicate with relational databases. It is used to retrieve, insert, update, delete and analyse data stored in database tables.

SQL is widely used in software development, database management, reporting, data analytics and business intelligence. It is useful for developers, Data Analysts, database professionals and other IT professionals.

SQL fundamentals can be learned by beginners with a structured approach. The course progresses from basic queries to joins, subqueries, functions, database objects and advanced SQL.

No. Beginners can start with SQL fundamentals without previous programming experience. Programming or database experience becomes useful when moving into advanced SQL and PL/SQL.

Yes. SQL is one of the important technical skills for Data Analysts because business data is frequently stored in relational databases. SQL can be used to extract, transform, aggregate and analyse datasets.

Yes. The advanced learning path can include complex joins, subqueries, CTEs, analytical/window functions, MERGE, advanced aggregation and query optimization concepts.

Yes. The curriculum covers INNER JOIN, LEFT OUTER JOIN, RIGHT OUTER JOIN, FULL OUTER JOIN, self joins and multiple-table joins.

Yes. The course covers single-row subqueries, multiple-row subqueries, correlated subqueries, EXISTS and NOT EXISTS and practical subquery scenarios.

The advanced SQL and Data Analytics learning path can include analytical/window functions such as ROW_NUMBER, RANK, DENSE_RANK, LEAD and LAG.

Yes. Oracle SQL concepts can be included in the Oracle-oriented learning path, making the course useful for participants working with Oracle databases and Oracle application environments.

Yes. Palium Skills offers a broader SQL + PL/SQL learning path for participants interested in Oracle database programming and technical development.

Yes. Classroom SQL training is available at the South Kolkata and Salt Lake/Sector V centres, subject to batch availability.

Yes. Live Online instructor-led SQL training is available for participants across India and international locations.

Yes. Participants from the Middle East, Malaysia, Singapore, Europe, UK, Australia, USA, Africa and other locations can join Live Online SQL training.

Yes. The course is designed to accommodate working professionals, with weekday and weekend batches subject to availability.

SQL course fees depend on the selected learning path. Current listed fees include ₹7,500 for SQL Fundamentals Online, ₹8,000 for SQL Fundamentals Classroom, ₹16,000 for Developer SQL + PL/SQL and ₹10,000 for SQL Fundamentals Fast-Track.

The SQL Fundamentals program is approximately 2 months. The duration of other learning paths can vary according to the curriculum and batch structure.

Participants completing the applicable program can receive a Palium Skills course completion certificate, subject to course completion requirements.

A Few Things You’ll Love!

  • Experienced Training Partner
  • Certified & Industry Expert Trainers
  • Multiple Training Delivery Models
  • Customized
    Course
  • 24/7 e-Learning Access
  • Assessments and Mock Tests
  • Placement Assistance
Training Calendar
Whatsapp Logo