The Complete SQL Course: From Zero to Data Analyst

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


Enroll Now
Scroll to Top
Scroll to Top