Md Zahid

Years of Experience in SQL Programming Training

4

Years of Experience in PL/SQL Classes

4

Years of Experience in RDBMS Training

4

Teaching Experience in detail in RDBMS Training

I have 4+ years of hands-on experience working with PostgreSQL and have also been actively involved in mentoring and teaching RDBMS concepts to students and professionals. My teaching focuses on practical, industry-aligned learning, starting from fundamentals to advanced SQL and database design topics using PostgreSQL. Topics I Teach: Fundamentals of RDBMS: Database principles, normalization, ACID properties, ER modeling. PostgreSQL SQL Syntax & Queries: SELECT, JOIN, GROUP BY, HAVING, subqueries, CASE, filtering, and sorting. Advanced SQL in PostgreSQL: Window functions (ROW_NUMBER(), RANK(), LAG(), LEAD()) CTEs and recursive queries Query optimization and performance tuning Data Definition Language (DDL): Table creation, constraints (PRIMARY KEY, UNIQUE, FOREIGN KEY, CHECK, NOT NULL) Data types and domains Data Manipulation (DML): INSERT, UPDATE, DELETE, UPSERT (ON CONFLICT) Functions and Stored Procedures: Writing user-defined functions in PL/pgSQL Cursors, exception handling, looping Indexing and Performance Optimization: EXPLAIN, ANALYZE, indexing strategies (BTREE, HASH) Views, Materialized Views, and Triggers Backup and Restore Role and Permission Management (RBAC) Teaching Style and Methodology: Project-Based Learning: Students work on real-world mini-projects like a Library System, eCommerce Schema, or an Inventory Management System using PostgreSQL. SQL Challenges and Use Cases: Daily or weekly problem sets covering a wide range of business scenarios. Data-Driven Examples: I use sample datasets (10k to 1M rows) to demonstrate performance issues and optimizations. Live Sessions & Recordings: Interactive classes over Zoom/Google Meet with screen sharing, doubt sessions, and recordings for revision. Assessments & Feedback: Quizzes, mock interviews, and assignments to track progress and provide improvement areas. Audience Taught: College students (Engineering/Computer Applications) Working professionals transitioning into data roles (SQL developers, analysts, aspiring data engineers) Freshers preparing for interviews with PostgreSQL-focused companies Tools & Platforms Used: PostgreSQL (pgAdmin, DBeaver, CLI) Zoom, Google Meet, Google Classroom, and GitHub Shared PostgreSQL DB instances for practice