SQL Developer Database Training Course in Gurgaon

What You'll Learn

Write and optimize SQL queries

Manage databases

Course Curriculum

14 Modules • 62 Lessons

Database concepts

10 min Preview

Master foundational database concepts. Learn data storage structures, schema designs, and core data management workflows at Gurgaon's top SQL training hub.

RDBMS vs DBMS

10 min

Understand the core differences between DBMS and RDBMS. Explore structural constraints, data normalization, and relational integrity mapping frameworks.

Database architecture

20 min

Deep dive into database architecture models. Master 1-tier, 2-tier, and 3-tier database engineering client-server layouts used in enterprise systems.

SQL overview

20 min

Get a complete overview of Structural Query Language (SQL). Learn why SQL is essential for data engineering, backend coding, and business intelligence jobs.

Installing SQL Server/MySQL/PostgreSQL

100 min

Step-by-step setup guide for major SQL databases. Learn how to configure local installations of Microsoft SQL Server, MySQL, and PostgreSQL environments.

SQL Developer tools

30 min

Master corporate SQL developer tools. Learn to navigate IDE environments like SQL Developer, SSMS, and pgAdmin for query writing and table visualization.

SQL Standards, SQL Commands

20 min

Learn ISO/ANSI SQL standards and fundamental command types. Master the structural differences between DDL, DML, DCL, and TCL instruction layers.

Use ampersand substitution to restrict and sort output at runtime

10 min

Learn to write dynamic runtime queries using ampersand substitution strings to dynamically restrict, filter, and sort table data on execution.

Usage of CREATE command to create new tables

20 min Preview

Master the SQL CREATE table command syntax. Learn schema generation, table field parameters, default value assignments, and data modeling in Gurgaon.

Keys on Table for data check, security PRIMARY/FOREGIN

15 min

Implement strict database security. Master Primary Keys, Foreign Keys, unique variables, and check constraints to preserve relational data integrity.

Data INSERT into tables using INSERT command

20 min

Learn the relational data insertion process. Master SQL INSERT INTO statement configurations to append single and multi-row records to active schemas.

INSERT data from another table

20 min

Automate batch data seeding operations. Learn how to merge and insert datasets from source tables to destination structures using INSERT INTO SELECT queries.

Alteration of Tables columns, row using ALTER command

20 min

Modify production database schemas safely. Master the SQL ALTER TABLE command syntax to add, modify, drop, or rename columns without losing live data.

Deletion of data from table

10 min

Manage row deletion safely. Learn how to write explicit SQL DELETE FROM query chains paired with targeted WHERE conditions to clear specific table records.

Truncate and DROP of tables and data.

20 min

Master irreversible storage commands. Learn the precise performance and structural differences between TRUNCATE and DROP TABLE configurations in SQL.

Data types in database. CHAR/VARCHAR2 etc.

15 min

Optimize database storage efficiency. Master core SQL data types including string variables (CHAR, VARCHAR2), numeric attributes, and date parameters.

Creation of INDEX on table

15 min

Maximize database engine reading velocity. Learn to build unique, non-unique, composite, and functional SQL INDEX layers to tune slow-running queries.

List the capabilities of SQL SELECT statements Variables.

10 min Preview

Master query execution logic. Learn projection, selection, and table joining attributes of the foundational SQL SELECT statement layout structure.

Execute a basic SELECT statement Data Types.

10 min

Run your first query. Learn to extract explicit database values, columns, calculations, and specific data formats with a basic SELECT statement layout.

SELECT, FROM, WHERE, ORDER BY, DISTINCT, LIMIT/TOP, Aliases, Comments

30 min

Master essential SQL syntax. Learn how to fetch, filter, sort, and limit database records using SELECT, FROM, WHERE, and DISTINCT commands in Gurgaon.

Create a Table from another Table with structure only

10 min

Learn to replicate database structures without copying rows. Master the CREATE TABLE AS syntax with a false WHERE condition loop.

Create a copy of Table from another Table with data

10 min

Master full table replication. Learn to clone both database schema architectures and underlying data records into a fresh target table using SQL.

Remove duplicate data in output display of select statement

15 min

Clean your query results. Master the SQL DISTINCT keyword to strip out redundant data values and return unique rows for clean data reporting.

Retrieve data using ISNULL

10 min

Master missing data handling. Learn how to track down, filter, and calculate unknown or missing values using native SQL ISNULL operations.

Create table data using INSERT statement

10 min Preview

Learn data entry engineering. Master the core SQL INSERT statement layout to manually add single or batch row records to your schema.

Make changes in the existing table data using UPDATE statements

15 min

Modify active data records safely. Master the SQL UPDATE command paired with targeted WHERE conditions to modify specific cell data in Gurgaon.

DELETE unwanted data from table

10 min

Purge records from relational tables. Learn how to write secure SQL DELETE FROM query filters to remove specific data entries efficiently.

MERGE diff. tables having diff data to get a single data table for analytics

20 min

Combine different datasets seamlessly. Master the SQL MERGE upsert statement to synchronize separate source tables into a single analytics asset.

Transactions in table and how they are managed

15 min

Master database transaction safety (ACID). Learn how to manage execution states using critical COMMIT, ROLLBACK, and SAVEPOINT control tools.

Limit the rows that are retrieved by a query

5 min Preview

Optimize data reading loads. Learn how to throttle excessive query results using LIMIT, TOP, or FETCH FIRST row configuration layers in SQL.

Operators in SQL statements :Arithmatic Comparison,Logical & Relational

20 min

Master advanced data comparison logic. Learn to use arithmetic, relational ($=, >, <$), and logical (AND, OR, NOT) operators in Gurgaon.

Sort the rows that are retrieved by a query using ORDER BY

10 min

Master raw data sorting methodologies. Learn how to organize query datasets cleanly in ascending or descending orders using ORDER BY in SQL.

Use ampersand substitution to restrict and sort output at runtime

10 min

Write dynamic interactive query scripts. Learn to use ampersand syntax to prompt user data filters and sorting parameters on execution.

Use of IN & BETWEEN to filter the data

15 min

Simplify data filtering loops. Learn how to validate discrete lists using IN, and isolate numerical or date boundaries using BETWEEN in SQL.

Retrieve data using LIKE,ISNULL Handling

15 min

Master fuzzy string searching. Learn to parse text values using LIKE wildcards ($\%$, $\_$) alongside advanced null data handling frameworks in Gurgaon.

CASE Statements in quick multiple choices

20 min

Implement inline conditional programming logic. Master the SQL CASE WHEN syntax to generate multi-choice, dynamic output columns in real time.

String Functions, Numeric Functions, Date Functions, Conversion Functions, NULL Functions

60 min Preview

Master built-in query processing power. Explore advanced string formatting, numeric rounding, date offsets, and conversion utility functions.

Describe various types of functions available in SQL

30 min

Understand the core architecture of SQL functions. Contrast row-level scalar tools directly against group-level mathematical aggregate frameworks.

GREATEST,LEAST,DECODE,TRIM,SUBSTR,NVL,TRANSLATE,

15 min

Deep dive into specialized SQL commands. Master text extraction, null swaps, conditional masking, and value comparison functions in Gurgaon.

Use character, number, and date functions in SELECT statements

20 min

Manipulate data rows in real time. Master core string formatting, mathematical rounding, and date offset functions inside your SELECT statements in Gurgaon.

Describe various types of conversion functions that are available in SQL

10 min Preview

Understand type conversion architecture. Learn how database engines evaluate, parse, and transform conflicting data types securely without generating runtime errors.

Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions

30 min

Master explicit data casting. Learn how to securely format dates into custom strings and convert text variables into clean numbers using SQL functions in Gurgaon.

Apply conditional expressions in a SELECT statement

10 min

Implement conditional branching logic directly inside your select outputs. Master the application of CASE expressions, COALESCE, and NULLIF parameters.

Identify the available group functions

10 min Preview

Understand multi-row groupings. Learn the technical architectural boundaries of multi-row functions versus scalar single-row operations for analytics.

Describe the use of group functions-COUNT(), SUM(), AVG(), MAX(), MIN()

20 min

Master core data aggregation tools. Learn to compute mathematical sums, averages, totals, and boundary peaks across entire tables at Gurgaon's top database institute.

Group data by using the GROUP BY And Having clause

30 min

Master data segment clustering. Learn to bucket data rows using GROUP BY and apply post-aggregation multi-row condition filtering using HAVING in SQL.

Cartessian Product in between tables

10 min Preview

Understand raw tabular multiplications. Learn why an unconstrained table relationship triggers a massive Cartesian product loop and how to avoid it.

JOINS in Tables

30 min

Connect separate enterprise data silos. Learn the logical and mathematical principles of joining multiple relational tables together cleanly in Gurgaon.

INNER JOIN /EQUI JOIN

30 min

Extract perfectly matched dataset intersections. Master the syntax and structural performance profiling of INNER JOIN and EQUI JOIN architectures.

OUTER JOINS : LEFT/RIGHT OUTER JOIN ,FULL OUTER JOIN,CROSS JOIN, SELF JOIN

120 min

Master advanced cross-table parsing. Learn to manipulate LEFT, RIGHT, FULL, and SELF JOIN properties to pull data regardless of matching row records.

Set operators in Tables : UNION, UNION ALL, INTERSECT, EXCEPT/MINUS

60 min Preview

Combine vertical query result stacks. Master the operational differences, sorting properties, and duplicate handling rules of UNION versus MINUS in SQL.

Independent SQL Queries

20 min Preview

Write clean nested database operations. Master independent non-correlated subqueries where the internal query executes completely isolated from outer blocks.

Correlated Subqueries SQL Queries

30 min

Master complex row-by-row data parsing. Learn to build advanced correlated subqueries that execute iteratively based on parent table variables in Gurgaon.

Single Row, Multi-row Queries

20 min

Handle nested return payloads safely. Learn to capture singular scalar metrics using standard operators and complex arrays using multi-row operators.

Usage of EXISTS, ANY, ALL in Queries

15 min

Optimize data array validation. Learn to short-circuit query execution using EXISTS, and compare scalar values against arrays using ANY and ALL.

CTE Basics, Recursive CTEs, Practical Examples

30 min Preview

Write highly elegant, modular code blocks. Master Common Table Expressions (CTEs) alongside recursive loops to map hierarchical data structures.

Understand the Advance SQL Functions , Why and When We need Them

10 min Preview

Upgrade your business intelligence toolbox. Understand the high-impact operational advantages of native windowing functions over traditional slow loops.

ROW_NUMBER(), RANK(), DENSE_RANK(),

120 min

Master database data ranking algorithms. Learn to calculate consecutive sequences, handle tied record values, and partition data structures in Gurgaon.

LEAD(), LAG()

60 min

Perform powerful time-series trend analysis. Learn to fetch value records from preceding or following rows without running resource-heavy self-joins.

FIRST_VALUE(), LAST_VALUE()

20 min

Isolate boundary records instantly. Learn how to pull the absolute first or final data value from ordered windows and custom table partitions.

NTILE()

30 min

Segment your database values into uniform buckets. Learn to distribute row records into equal statistical quartiles, percentiles, or target groupings.

Views, Indexes, Sequences, Synonyms

30 min Preview

Design enterprise-grade database schemas. Master virtual table views, read-accelerating indexes, auto-incrementing sequences, and secure synonyms in Gurgaon.

Course Description

Prerequisites

Basic Computer Knowledge

Skills You'll Gain

Sql Queries Data Management

Your Instructors

Student Reviews

4.7 (5 Rating or 4.8)

Dhruv

★ ★ ★ ★ ☆

"A fantastic SQL course with real database examples and hands-on practice. I learned everything from basic queries to joins, functions, and optimization. Perfect for beginners and aspiring data professionals."

Mukesh

★ ★ ★ ★ ★

"The explanations are simple, practical, and easy to understand. The exercises helped me gain confidence in writing SQL queries independently. Highly recommended for anyone preparing for interviews."

Kiranmayi

★ ★ ★ ★ ☆

"This course transformed the way I understand databases. The real-world scenarios and assignments made learning SQL interesting and effective. Great course for analysts, developers, and freshers."

Vignesh Muthu

★ ★ ★ ★ ☆

"Excellent instructor and well-organized content. I was able to improve my SQL skills quickly and use them in my daily work. Definitely worth enrolling if you want practical database knowledge."

Ella

★ ★ ★ ★ ☆

"The course covers everything needed to master SQL with plenty of practice questions and projects. It's beginner-friendly yet detailed enough for professionals looking to strengthen their skills."

FAQ

🔹 Is this course available online or offline?

Yes, course is available in both modes.

🔹 Certificate of completion?

Yes, shareable digital certificate.

🔹 Can i make fee payments in parts ?

Yes, Few basis , we allow candidates to pay fee in parts.

🔹 Projects included?

5 major minor portfolio projects.

🔹 Can you provide guaranteed placement after the course ?

Yes, we provide you the assured placement. we have a dedicated team for placement assistance.

Career Outcomes

Career outcomes will be added soon.

₹500 *Off on one-time payment

✨ 5-day money-back guarantee

Includes free 2-day preview session

Personalized Learning Roadmap
AI-Powered Learning Assistant
Hands-on Projects
Job-Ready Skills
Verified Certificate
24/7 Q&A/ Project Support

Course Features

44 Hrs.+ Sessions

42+ Exercises

Resources Kit

Daily Quiz-Assignments

Earn a Verified Certificate

Shareable on LinkedIn & Resume

Industry Recognized Verified by BMLC

❤️ We Care & Build Your Confidence

1-on-1 Mentorship: Dedicated professional mentors guide you through every challenge.

Peer Learning Community: Join 1k+ learners in weekly code reviews.

Confidence Booster: Project-based learning with real-world simulations.

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Upcoming Course Events

Live & Interactive-Offline

Oct

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Agentic AI Session

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01:00 PM - 01:00 PM

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*All events are recorded and available for enrolled students

Sql Developer

What You'll Learn

Course Curriculum

Database Server Technologies and the Relational Paradigm

Database concepts

RDBMS vs DBMS

Database architecture

SQL overview

Installing SQL Server/MySQL/PostgreSQL

SQL Developer tools

SQL Standards, SQL Commands

Use ampersand substitution to restrict and sort output at runtime

Data Definition Language (DDL)-Table Creation , data Preparation

Usage of CREATE command to create new tables

Keys on Table for data check, security PRIMARY/FOREGIN

Data INSERT into tables using INSERT command

INSERT data from another table

Alteration of Tables columns, row using ALTER command

Deletion of data from table

Truncate and DROP of tables and data.

Data types in database. CHAR/VARCHAR2 etc.

Creation of INDEX on table

Retrieving Data Using the SQL SELECT Statement

List the capabilities of SQL SELECT statements Variables.

Execute a basic SELECT statement Data Types.

SELECT, FROM, WHERE, ORDER BY, DISTINCT, LIMIT/TOP, Aliases, Comments

Create a Table from another Table with structure only

Create a copy of Table from another Table with data

Remove duplicate data in output display of select statement

Retrieve data using ISNULL

Data Manipulation Language(DML Commands)

Create table data using INSERT statement

Make changes in the existing table data using UPDATE statements

DELETE unwanted data from table

MERGE diff. tables having diff data to get a single data table for analytics

Transactions in table and how they are managed

Filtering and Sorting Data

Limit the rows that are retrieved by a query

Operators in SQL statements :Arithmatic Comparison,Logical & Relational

Sort the rows that are retrieved by a query using ORDER BY

Use ampersand substitution to restrict and sort output at runtime

Use of IN & BETWEEN to filter the data

Retrieve data using LIKE,ISNULL Handling

CASE Statements in quick multiple choices

Using Single-Row Functions to Customize Output

String Functions, Numeric Functions, Date Functions, Conversion Functions, NULL Functions

Describe various types of functions available in SQL

GREATEST,LEAST,DECODE,TRIM,SUBSTR,NVL,TRANSLATE,

Use character, number, and date functions in SELECT statements

Using Conversion Functions and Conditional Expressions

Describe various types of conversion functions that are available in SQL

Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions

Apply conditional expressions in a SELECT statement

Reporting Aggregated Data Using the Group Functions

Identify the available group functions

Describe the use of group functions-COUNT(), SUM(), AVG(), MAX(), MIN()

Group data by using the GROUP BY And Having clause

Getting Data Fro Multiple Tables Using JOINS

Cartessian Product in between tables

JOINS in Tables

INNER JOIN /EQUI JOIN

OUTER JOINS : LEFT/RIGHT OUTER JOIN ,FULL OUTER JOIN,CROSS JOIN, SELF JOIN

SET operators in Table data fetching

Set operators in Tables : UNION, UNION ALL, INTERSECT, EXCEPT/MINUS

Independent And Corelated SQL Queries/SubQueries

Independent SQL Queries

Correlated Subqueries SQL Queries

Single Row, Multi-row Queries

Usage of EXISTS, ANY, ALL in Queries

Common Table Expressions (CTE)

CTE Basics, Recursive CTEs, Practical Examples

Window Functions

Understand the Advance SQL Functions , Why and When We need Them

ROW_NUMBER(), RANK(), DENSE_RANK(),

LEAD(), LAG()

FIRST_VALUE(), LAST_VALUE()

NTILE()

Database Objects

Views, Indexes, Sequences, Synonyms

Course Description