• What is SQL and Why is it Important?
• Relational Database Management Systems (RDBMS)
• Overview of Popular RDBMS: MySQL, PostgreSQL, SQL Server, and SQLite
• Installing and Setting up SQL Tools and Environment
• Understanding Database Structure: Tables, Rows, and Columns
• Writing Your First SQL Query
• Basic SQL Commands: SELECT, INSERT, UPDATE, DELETE
• Sorting Data with ORDER BY
• Limiting Results with LIMIT (MySQL) and FETCH FIRST (PostgreSQL)
• Pattern Matching with LIKE and Wildcards
• Aggregate Functions: COUNT, SUM, AVG, MIN, MAX
• Grouping Data with GROUP BY and HAVING
• Joining Tables: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN
• Primary Keys, Foreign Keys, and Relationships
• Creating, Modifying, and Deleting Databases and Tables
• Indexing for Performance Improvement
• Triggers and Events
• Connecting SQL with Python for Automation
• Using SQL with Data Visualization Tools (e.g., Tableau, Power BI).

Are you ready to unlock the power of data? This comprehensive course is your all-in-one guide to mastering SQL and launching your career as a Data Analyst. Whether you’re a complete beginner or a professional looking to add a crucial skill to your toolkit, this course will take you from zero to hero.

SQL (Structured Query Language) is the universal language of data. It is the most in-demand skill for data related jobs, including Data Analyst, Business Intelligence Analyst, Data Scientist, and Database Administrator. This course is designed to provide you with a solid foundation and advanced practical skills to confidently tackle real world data challenges.

What You’ll Learn:

• What SQL is and how it works in real world databases

• How to write SQL queries from scratch using MySQL and PostgreSQL

• How to filter, sort, and transform data using SELECT, WHERE, GROUP BY, HAVING, and more

• How to join multiple tables and work with relational databases

• How to use aggregate functions, subqueries, and window functions

• How to analyze data and answer real business questions

• How to design reports and prepare data for visualization tools

This Course Include

Module 1: Introduction to SQL and Databases   

• What is SQL and Why is it Important?

• Relational Database Management Systems (RDBMS).

• Overview of Popular RDBMS: MySQL, PostgreSQL, SQL Server, and SQLite.

• Installing and Setting up SQL Tools and Environment.

Module 2: SQL Basics   

• Understanding Database Structure: Tables, Rows, and Columns.

• Writing Your First SQL Query.

• Basic SQL Commands: SELECT, INSERT, UPDATE, DELETE.

• Data Types in SQL.

Module 3: Querying Data 

• Sorting Data with ORDER BY.

• Limiting Results with LIMIT (MySQL) and FETCH FIRST (PostgreSQL).

• Pattern Matching with LIKE and Wildcards.

Module 4: Advanced Query Techniques   

• Aggregate Functions: COUNT, SUM, AVG, MIN, MAX.

• Grouping Data with GROUP BY and HAVING.

• Joining Tables: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN.

Module 5: Database Design and Normalization    

• Designing a Relational Database Schema.

• Primary Keys, Foreign Keys, and Relationships.

• Normalization and its Forms: 1NF, 2NF, 3NF.

Module 6: Managing Databases and Tables   

• Creating, Modifying, and Deleting Databases and Tables.

• Adding Constraints: NOT NULL, UNIQUE, CHECK.

• Indexing for Performance Improvement.

Module 7: Advanced SQL Concepts   

• Views: Creating and Managing Virtual Tables.

• Stored Procedures and Functions.

• Triggers and Events in SQL.

Module 8: Working with Multiple RDBMS   

• Differences Between MySQL, PostgreSQL, SQL Server, and SQLite.

• Connecting SQL with Python for Automation.

• Using SQL with Data Visualization Tools (e.g., Tableau, Power BI).

By the end of this course, you will not only be proficient in SQL but also understand the mindset of a data analyst. You will have the skills, knowledge, and confidence to land a job or start a career working with data.

Start learning SQL today—and take your first step toward becoming a Data Analyst.

Who this course is for:

• Students or career changers looking to break into the data industry
• Developers who want to add SQL to their toolbox
• Business professionals who need to work with data reports and dashboards
• Beginners with no prior experience in SQL or databases