Complete MySQL & SQL Database Course by Anitha R

DurationDuration:1 months

Batch TypeBatch Type:Weekend and Weekdays

LanguagesLanguages:Tamil

Class TypeClass Type:Online

Class Type Course Fee:

₹10,000.00Full Course

Course Content

This Complete MySQL & SQL Database Course is a structured learning program designed to help learners understand relational databases and SQL querying from the ground up. Conducted through online live classes, the course covers MySQL fundamentals, core SQL commands, and essential data manipulation techniques used in real-world database systems.

The course is ideal for students, beginners in programming, and anyone who wants to gain a strong foundation in Database Management Systems (DBMS) and Relational Database Management Systems (RDBMS). With a step-by-step progression from database basics to advanced querying concepts, learners develop the skills required to store, retrieve, and manage data efficiently.


What Students Will Learn

By the end of this course, learners will gain a practical and conceptual understanding of MySQL and SQL, including:

  • Introduction to databases and the role of MySQL

  • Understanding relational databases and table-based data storage

  • SQL basics: SELECT, INSERT, UPDATE, and DELETE statements

  • Working with MySQL data types such as int, varchar, and date

  • Applying constraints including PRIMARY KEY and FOREIGN KEY

  • Writing basic queries using WHERE, AND, OR, and LIMIT

  • Retrieving data efficiently using conditional filters

  • Understanding and applying JOINs (INNER, LEFT, RIGHT, FULL)

  • Using aggregate functions like SUM, AVG, and COUNT

  • Grouping data using GROUP BY and filtering results with HAVING

  • Writing and understanding subqueries and nested queries

  • Modifying data safely using insert, update, and delete operations

  • Basic understanding of data relationships and normalization concepts

The course focuses on helping learners understand how data is structured and how SQL queries interact with databases in a practical manner.


Teaching Method

This is a fully online MySQL training course, delivered through interactive live sessions. The teaching approach emphasizes clarity, logical flow, and practical understanding of queries rather than memorization.

Key teaching features include:

  • Concept-by-concept explanation of database fundamentals

  • Live query demonstrations with real examples

  • Step-by-step practice of SQL commands

  • Focus on query logic and data relationships

  • Regular exercises to strengthen query-writing skills

  • Doubt clarification during sessions to ensure understanding

The course structure allows learners to gradually move from simple queries to more complex data manipulation techniques with confidence.


Why This Tutor

Anitha R follows a concept-driven teaching approach focused on building strong fundamentals in SQL and database design. The sessions emphasize understanding query logic, table relationships, and data integrity rules rather than only learning commands.

The teaching style supports learners who want a solid base for further learning in data-related fields, backend development, or programming courses that require database integration.


Location Context

As the course is conducted online, learners from any city or location can attend live classes conveniently. Online delivery ensures flexibility while maintaining guided and structured instruction.


Benefits / Outcomes

After completing this course, learners can expect:

  • Clear understanding of MySQL and relational databases

  • Ability to write efficient SQL queries

  • Confidence in handling database tables and relationships

  • Practical knowledge of joins, subqueries, and aggregations

  • Improved logical thinking for data handling

  • Strong foundation for advanced SQL, data engineering, or backend development

This course provides essential database skills required for modern software and data-driven applications.

Skills

Mysql, Database Mysql, Sql Rdbms, Sql Queries, Database Management Systems (dbms), Relational Databases (rdbms), SQL, Advanced SQL for Data Engineering

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2 Years Experience

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