Course Overview
- Course Title: SQL Masterclass: Beginner to Expert
- Instructor: Tharun Challa (Software Developer, Data Analyst, and Trainer)
- Target Audience:
- Beginners with no prior SQL experience
- Intermediate learners seeking advanced SQL techniques
- Professionals aiming to optimize database performance
- Developers, analysts, and engineers working with relational databases
- Prerequisites: None
Curriculum Highlights
- Key Topics Covered:
- SQL Foundations: MySQL installation, Workbench navigation, DDL/DML statements, data types
- Database Design: Schema normalization, constraints (PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK), denormalization
- Query Writing: SELECT, INSERT, UPDATE, DELETE, filtering, sorting, aggregations (GROUP BY, HAVING)
- Advanced Queries: JOINs (INNER, LEFT, RIGHT, FULL OUTER), subqueries, CTEs (Common Table Expressions), set operations
- Performance Optimization: Indexing, execution plans, transaction control (COMMIT, ROLLBACK)
- Stored Procedures & Triggers: Error handling, user-defined functions, event-driven automation
- Window Functions: RANK(), ROW_NUMBER(), PARTITION BY, analytical queries
- Real-World Projects: Banking database design, interview-style challenges, case studies
- Key Skills Learned:
- Write CRUD operations across MySQL, PostgreSQL, SQL Server, Oracle
- Design normalized database schemas (1NF, 2NF, 3NF)
- Optimize queries for speed and scalability
- Apply data integrity rules and security best practices
- Analyze data using aggregations, rollups, cubes
- Debug and refine queries with execution plans
Course Format
- Duration: 14 hours on-demand video
- Format: Self-paced online course (lifetime access)
- Resources:
- 1 downloadable resource (exercises/project files)
- Mobile and TV access
- Certificate of completion
- Responsive Q&A support
Additional Information
- Database Systems Covered: MySQL (primary), PostgreSQL, SQL Server, Oracle
- Project-Based Learning: Banking database project (design to optimization)
- Career Applications: Backend development, data analysis, business intelligence (BI), database administration