MySQL Database & SQL Mastery

  • Learn the foundations of databases and SQL using MySQL — from setup to advanced querying.
  • Master data manipulation, joins, subqueries, and aggregation for efficient data analysis.
  • Build expertise in stored procedures, triggers, transactions, and indexing for optimized database performance.
  • Understand user management, roles, and security to safeguard data and control access.
  • Explore advanced MySQL features — CTEs, window functions, JSON handling, and replication.
  • Integrate MySQL with Python, Java, and BI tools (Power BI, Tableau) for real-world analytics and application development.

Course Curriculum

Module 1. Introduction to Databases & MySQL
  • What is a Database?
  • RDBMS vs DBMS
  • Features & Advantages of MySQL
  • Installing MySQL (Workbench, CLI)
  • Database Clients & Tools
Module 2. SQL Basics
  • Database creation & deletion
  • Creating & dropping tables
  • SQL data types
  • Primary key, foreign key, unique, NOT NULL
  • Default values & AUTO_INCREMENT
Module 3. Data Manipulation Language (DML)
  • INSERT INTO (single & multiple rows)
  • UPDATE with conditions
  • DELETE with conditions
  • SELECT basics
Module 4. Operators & Expressions
  • Arithmetic, comparison & logical operators
  • BETWEEN, IN, LIKE, IS NULL
  • String functions
  • Numeric functions
  • Date & time functions
Module 5. Querying Data
  • ORDER BY
  • LIMIT & OFFSET
  • Filtering with WHERE
  • Aliases
Module 6. Aggregate Functions & Grouping
  • COUNT, SUM, AVG, MIN, MAX
  • GROUP BY
  • HAVING vs WHERE
  • ROLLUP & CUBE
Module 7. Joins in MySQL
  • INNER JOIN
  • LEFT JOIN
  • RIGHT JOIN
  • FULL OUTER JOIN (using UNION)
  • CROSS JOIN
  • Self joins
Module 8. Subqueries & Nested Queries
  • Scalar subqueries
  • Row subqueries
  • Table subqueries
  • Correlated subqueries
  • EXISTS & NOT EXISTS
Module 9. Constraints & Indexing
  • Constraints
  • Indexes (single & multi-column)
  • Clustered vs non-clustered
  • Index performance considerations
Module 10. Views
  • Creating & managing views
  • Updatable views
  • Security using views
Module 11. Stored Procedures & Functions
  • Stored procedures
  • Input & output parameters
  • Stored functions
  • Control flow statements
  • Error handling
Module 12. Triggers & Events
  • Triggers (BEFORE & AFTER)
  • Row-level & statement-level triggers
  • Event scheduler
Module 13. Transactions & Concurrency
  • ACID properties
  • Transaction control
  • Concurrency issues
  • Isolation levels
Module 14. User Management & Security
  • User creation
  • Grant & revoke privileges
  • Role-based access control
  • Password policies & encryption
  • Securing MySQL connections
Module 15. MySQL Performance Optimization
  • EXPLAIN & execution plans
  • Optimizing joins & subqueries
  • Index optimization
  • Caching & buffering
  • Table partitioning
Module 16. Backup, Restore & Replication
  • Logical & physical backups
  • Restoring databases
  • Replication strategies
  • High availability concepts
Module 17. Advanced MySQL Features
  • JSON data handling
  • Common Table Expressions (CTEs)
  • Window functions
  • Dynamic SQL
  • Temporary & derived tables
Module 18. Integration with Applications
  • MySQL with Python
  • MySQL with Java (JDBC)
  • MySQL with Flask/Django
Module 19. MySQL in Data Engineering & Analytics
  • Data import & export
  • ETL using MySQL
  • BI tools integration
  • Data warehousing concepts
Author Images
Mentor : Srikanth K
Mission: “To make Data Science and AI learning practical, accessible, and career-driven for every learner.”

With over 10 years of diverse experience in software development and technical training, Srikanth is a passionate educator specializing in Python programming, Machine Learning, Deep Learning, NLP, and Data Analytics.

His expertise lies in simplifying complex AI/ML concepts through practical demonstrations and hands-on projects, helping learners bridge the gap between theory and industry application. He has trained hundreds of professionals and students in data-driven technologies, empowering them to build real-world AI and data solutions.

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