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

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.

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.

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.

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.

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.

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.

• 
  

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.

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).

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.