Part I: Relational Database Fundamentals
- Introduction to Relational Databases (MySQL vs PostgreSQL).
- Installing SQL Server and navigating graphical clients (Workbench/pgAdmin).
- Understanding Tables, Columns, Rows, and Datatypes.
- Writing basic SELECT queries and filtering with WHERE clauses.
- Using Operators (AND, OR, IN, BETWEEN, LIKE).
- Sorting results with ORDER BY and limiting outputs.
- Data manipulation: INSERT, UPDATE, and DELETE commands.
Part II: Advanced Queries & Joins
- Using Aggregate Functions (COUNT, SUM, AVG, MIN, MAX).
- Summarizing data using GROUP BY and filtering groups with HAVING.
- Date and String manipulation functions in SQL.
- Mastering Table Relationships: INNER, LEFT, RIGHT, and FULL OUTER Joins.
- Writing Nested Queries (Subqueries) in SELECT, FROM, and WHERE clauses.
- Advanced Analytics: Using Window Functions (ROW_NUMBER, RANK, DENSE_RANK).
- Structuring complex queries cleanly with CTEs (Common Table Expressions).
Part III: Database Design & Administration
- Creating, Altering, and Dropping Tables and Databases.
- Enforcing Data Integrity using Primary Keys, Foreign Keys, and UNIQUE constraints.
- Database Normalization (1NF, 2NF, 3NF) to eliminate data redundancy.
- Creating Views and Stored Procedures for reusability.
- Understanding Indexes to speed up query execution times.
- User Management (DCL): GRANT and REVOKE permissions.
- Database backup, export, and import strategies.
About the Mentor
Lead Data Engineer
Senior Database Administrator
With a robust background managing massive datasets for corporate tech firms, our lead mentor understands exactly what the industry demands. You will not just learn SQL syntax; you will learn how to think about data structurally. The curriculum is heavily focused on writing highly optimized queries that don't crash servers, translating real-world business questions into complex analytical SQL commands.
Enrollment Options
Data Analyst Track
₹ 3,000
Perfect for analysts and backend beginners.
- Access to Part I & II (Querying & Joins)
- Extensive Query Writing Exercises
- Real-world Datasets to practice
- Certificate of Completion
Enroll Now
Industry Ready
Database Admin (DBA)
₹ 6,000
Master complete database architecture.
- Everything in the Data Analyst track
- Access to Part III (Schema & Admin)
- Live Database Normalization Projects
- Query Optimization & Indexing Guide
- Interview Preparation & Logic Tests
Enroll Now
Frequently Asked Questions
Do I need prior programming experience?
No! SQL is a declarative language, meaning it reads much closer to plain English than traditional programming languages like Java or C++. It is widely considered one of the easiest and most valuable technical skills to learn for absolute beginners.
Which database system will we use?
We will primarily use MySQL for training, as it is open-source and universally adopted. However, the ANSI SQL syntax you learn here is over 95% identical across all major databases, including PostgreSQL, SQL Server, and Oracle.
Is SQL still relevant with NoSQL databases around?
Absolutely. Relational databases (SQL) remain the absolute backbone of global financial, corporate, and governmental systems due to their structured integrity. It is an indispensable skill for Data Scientists, Backend Developers, and Business Analysts alike.
What software do I need to install?
We will guide you step-by-step through installing MySQL Server and MySQL Workbench (the graphical interface) on your personal computer completely free of charge.
Ready to query the future?
Build the high-demand data skills required by top tech and financial firms.
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