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Master SQL in Hindi: Data Science & Backend Preparation 2026
3 students

Master SQL in Hindi: Data Science & Backend Preparation 2026

Become a SQL Expert (MySQL & PostgreSQL). Learn Joins, Window Functions, Stored Procedures, and build 5 Real Projects.
Created byNikhil Agarwal
Last updated 5/2026
Hindi

What you'll learn

  • Master SQL from scratch using MySQL and PostgreSQL, covering complex Joins, Subqueries, and Aggregations.
  • Design professional database schemas using ER Diagrams and apply Normalization (1NF, 2NF, 3NF, BCNF) to reduce redundancy.
  • Implement advanced Data Science techniques using Window Functions, CTEs, and Partitioning for complex data analysis.
  • Build and secure backend architectures using Stored Procedures, Triggers, Views, and RBAC (Role Based Access Control).

Course content

10 sections • 78 lectures • 11h 48m total length

  • Introduction0:50
  • What is Data? What is Structured Data?3:46
  • How to keep Structured Data?2:30
  • Why SQL is needed?3:49
  • SQL vs Excel When to use?4:28
  • What is a Database?2:53
  • Relational vs Non Relational Datas6:03
  • What is SQL?4:17
  • Overview of RDBMS MySQL, PostgreSQL, SQLite, SQLServer, Oracle2:48
  • SQL vs No SQL8:40
  • What is Schema2:40
  • Install MySQL and MySQL Workbench in MacOS10:15
  • Install MySQL and MySQL Workbench in Windows7:57
  • Install Xampp for MySQL in MacOS4:45
  • Install Xampp for MySQL in Windows7:46
  • Install SQLITE DB Browser in MacOS5:28
  • Install SQLite DB Browser in Windows4:26
  • Install PostgreSQL in MacOS6:59
  • Install PostgreSQL pgadmin in Windows7:46
  • Join our Discord and Youtube Community1:19
  • Join our Discord and Youtube Community1:19
  • Explore More Premium Courses0:46

Requirements

  • No prior coding or database experience is required. We start from "What is Data?".
  • A Windows, Mac, or Linux computer to install MySQL and PostgreSQL (Installation guides included).
  • Understanding of Hindi language (Audio is in Hindi).

Description

Master SQL without the language barrier. Learn Data Science and Backend Database concepts deeply in Hindi.

SQL (Structured Query Language) is the most in-demand skill in the tech industry today. Whether you want to become a Data Scientist, a Data Analyst, or a Backend Web Developer, you cannot build a career without mastering databases.

But most tutorials are either too shallow, covering only basic SELECT queries, or they are in complex English that makes hard concepts like Normalization and Window Functions difficult to grasp.

This course solves that problem.

Taught purely in Hindi, this "Master SQL" course is designed to take you from a complete beginner to an advanced database architect. We don't just type commands; we explore the logic behind how data is stored, retrieved, and optimized in a production environment.

Why is this the most complete SQL course in Hindi?

1. Dual-Database Training (MySQL & PostgreSQL) Most courses force you to choose one. We teach you both. You will start with MySQL, the most popular database for web apps, and then master PostgreSQL, the industry standard for complex enterprise data and data science. You will be ready for any job interview.

2. From Theory to Production We don't skip the boring stuff. We dive deep into Database Design:

  • ER Diagrams: Learn to plan your database before writing code.

  • Normalization: Master 1NF, 2NF, 3NF, and BCNF to design error-free schemas.

  • ACID Properties: Understand how transactions work to ensure data integrity.

3. Advanced Data Science & Analytics This is where you move beyond "Junior" level. You will master modern SQL tools used by Data Scientists:

  • Window Functions: RANK(), DENSE_RANK(), LEAD(), LAG().

  • CTEs (Common Table Expressions): Write clean, readable complex queries.

  • Subqueries & Joins: Handle data across multiple complex tables with ease.

4. Backend Architecture & Security For the future Backend Engineers, we cover the server-side controls:

  • Stored Procedures & UDFs: Automate tasks within the database.

  • Triggers: Create automatic reactions to data changes.

  • Views: Simplify complex data access.

  • RBAC (Role-Based Access Control): Learn how to secure your data by managing User Roles and Permissions.

5. Five Real-World Capstone Projects You will not just learn syntax; you will apply it. We build the database backends for:

  1. E-commerce Store: Manage orders, customers, and inventory.

  2. Hospital Management System: Handle patients, doctors, and appointments.

  3. School Management System: Track students, courses, and grades.

  4. Online Bookstore: A classic inventory management problem.

  5. Food Delivery App: Manage complex relationships between restaurants, drivers, and users.

Who is this course for?

  • Students: Perfect for acing your DBMS exams and placement interviews.

  • Developers: Python, Java, or Node.js developers who want to master the backend data layer.

  • Data Aspirants: The perfect first step before learning Python for Data Science.

Enroll now and master the language of data—in your own language.

Who this course is for:

  • Hindi-speaking students and freshers preparing for Data Science or Backend Development interviews.
  • Python/Java Developers who want to master the database layer of their applications.
  • Data Analysts who want to move beyond Excel and perform high-performance queries on millions of rows.
  • Computer Science students who need to build a Final Year Project with a robust database backend.

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