Data & AI · Online / Offline

SQL

Master Structured Query Language to query, join, and manage relational databases confidently.

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Duration1–2 months

LevelBeginner

ModeOnline / Offline

LocationDombivli East & Online

About this course

SQL is the language of data. This course teaches you to query, join, summarise and manage data in relational databases — a skill used in analytics, development, testing and reporting roles.

Training is available in Online and Offline modes from our Dombivli East centre at Navare Plaza. Batch timings can be discussed during counselling so the schedule fits students and working professionals.

Key highlights

Relational thinking

Understand tables, keys and relationships.

Real query practice

Write queries for filtering, sorting and summarising data.

Joins and subqueries

Combine data across multiple tables.

Business questions

Turn real questions into SQL queries.

What you gain

Confidence writing SQL queries from scratch.
Ability to extract and summarise data for reports.
Understanding of database design basics and good practice.
A strong base for analytics, BI and backend work.

Course syllabus

8 modules, taught step by step from fundamentals to practice.

1
Database and SQL Fundamentals
What is a database, RDBMS concepts, tables, rows, columns, primary and foreign keys, and SQL categories (DDL, DML, DQL).
2
Retrieving Data
SELECT, WHERE, DISTINCT, ORDER BY, LIMIT/TOP, operators, LIKE, IN, BETWEEN and NULL handling.
3
Functions and Aggregation
String, numeric and date functions, COUNT, SUM, AVG, MIN, MAX, GROUP BY and HAVING.
4
Joins
INNER, LEFT, RIGHT and FULL joins, self joins, cross joins, and combining results with UNION.
5
Subqueries and CASE
Nested queries, correlated subqueries, EXISTS, and CASE expressions for conditional logic.
6
Data Modification and Constraints
INSERT, UPDATE, DELETE, creating tables, data types, constraints, and transactions.
7
Views, Indexes and Window Functions
Views, indexes and performance basics, ROW_NUMBER, RANK, and running totals.
8
Database Design Basics and Practice Project
Normalisation, ER diagrams, and a hands-on project querying a sample business database.

Learning approach

Concepts Live query practice Business-style exercises Mini project

Tools & technologies

SQL Server / MySQL

Practice on a popular relational database.

Query editors

Write and test queries efficiently.

Sample databases

Business-style datasets for practice.

Explore potential career paths

SQL Developer (Junior)

Write queries and manage data.

Data / Reporting Analyst

Extract data for dashboards and reports.

Database Support Associate

Maintain and support databases.

BI Associate

Prepare data for BI tools.

Career paths shown are illustrative roles that use these skills; outcomes depend on your effort, background and the job market.

Why choose CIT?

Career-focused learning: A curriculum aligned with relevant SQL skills.
Practical approach: Exercises and hands-on practice to reinforce concepts.
Industry-relevant tools: Learn commonly used tools for SQL.
Project-based practice: Opportunities to apply concepts to realistic problems, if included in the delivery.
Learning for different backgrounds: A pathway designed for learners building or expanding their skills.

Who can join?

Students and graduates
Freshers starting in IT or analytics
Testers and developers who need database skills
Working professionals who handle data in Excel

Common questions

Can I attend SQL Online?

Yes. This course is available in both Online (live sessions) and Offline (Navare Plaza classroom) modes.

Do I need prior experience?

This course is listed as Beginner. Our counsellors will confirm the right starting point based on your background.

How do I get the full syllabus, fees and batch dates?

Fees, syllabus details and batch dates are shared during counselling. Call +91 99672 46501 or send an enquiry.

Start SQL at CIT

Seats and batch timings vary — enquire today for the next available Online or Offline batch.

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