The Advanced SQL & Database Management course is designed for students, professionals, and aspiring data engineers who want to master SQL, relational databases, and data warehousing concepts. This course provides a comprehensive learning path from fundamental DBMS concepts to advanced SQL queries, data modeling, and real-world applications.

Suitable for database developers, data analysts, business intelligence professionals, and students, the course focuses on practical, hands-on experience and industry-relevant SQL skills.

What Students Will Learn

• SQL & DBMS Fundamentals:

  • Introduction to SQL and relational database management systems (DBMS)

  • Data warehousing concepts, OLAP vs OLTP systems

  • Understanding tables, schemas, and database architecture

• Core SQL Skills:

  • Basic SQL commands: SELECT, FROM, ORDER BY

  • Aggregation functions for summarizing data

  • SQL Joins: INNER, LEFT, RIGHT, FULL

  • Subqueries, window functions, and common table expressions (CTEs)

• Advanced SQL & Database Objects:

  • Views, functions, and stored procedures

  • Data Definition Language (DDL), Data Manipulation Language (DML), Data Query Language (DQL), Data Control Language (DCL)

  • Indexing and performance optimization techniques

• Practical Applications & Architecture:

  • Medallion architecture implementation using SQL

  • Complex query writing for real-world data scenarios

  • SQL in data engineering and business intelligence workflows

Teaching Method

Offered online and offline, the course emphasizes hands-on exercises and real-world applications:

• Interactive live sessions with step-by-step SQL demonstrations

• Practical problem-solving using real datasets

• Assignments and mini-projects to reinforce learning

• Focus on industry-relevant skills and database engineering practices

Why This Tutor

Madhur Jain brings a practical, industry-focused teaching approach. The tutor ensures learners understand concepts deeply, write efficient SQL queries, and implement database solutions for professional and real-world scenarios.

Location Context

With both online and offline options, students can learn from anywhere or attend local sessions as convenient.

Benefits / Outcomes

After completing the course, learners will be able to:

• Write complex SQL queries and optimize database performance

• Understand and implement DBMS and data warehousing concepts

• Use SQL for advanced data analysis, reporting, and engineering tasks

• Work with views, stored procedures, and indexing strategies

• Apply SQL in real-world business intelligence and data engineering scenarios

This course equips learners with advanced SQL proficiency and practical database management skills, preparing them for professional roles in data and analytics.