
Learn how SQL, the standard query language, manages relational databases to store, update, and analyze data, enforce integrity and security, and integrate with Python, Java, and AI tools.
Learn how relational database management systems store data in tables with rows and columns, use normalization and keys to enforce relationships and maintain data integrity, consistency, and durability.
Explore popular rdbms such as MySQL, PostgreSQL, SQL Server, and SQLite, covering features like open source, extensibility, transactions, and serverless design, with real-world web, enterprise, and mobile use cases.
Install and configure SQL Server Express, download and run the installer, then install SQL Server Management Studio to connect to the server via Windows authentication.
Explore the fundamental database structure, including tables, rows, and columns; create a simple customers table with a primary key, and perform insert and select queries.
Create your first sql query in sql server management studio by defining an employees table with employee_id as primary key, and name, department, and salary decimal, then query the data.
Create a simple employees table with a primary key, then use select, insert, update, and delete to manage data with sql.
Learn how SQL data types define column values from integer and text to decimal, date, and binary, using customer, product, and orders tables as examples.
Explore how to sort data in sql with order by, including ascending salary, descending names, and multi-column sorts by department and salary. See practical examples using the employees table.
Learn how to limit query results in MySQL with limit and in PostgreSQL with fetch first, including skipping rows and retrieving the next set.
Learn to create a table, insert data, and use aggregate functions—count, sum, avg, min, max—to analyze orders, calculate total revenue, and determine average order value.
Group and summarize sales data by product and by customer using group by, calculating total quantity sold and total revenue, and filter groups with having revenue greater than 3000.
Create two sql tables, customers and orders, and practice inserting data. Master inner, left, right, and full outer joins, including join on multiple conditions.
Design and optimize a relational database schema by implementing one-to-one, one-to-many, and many-to-many relationships with primary and foreign keys, including data across users, profiles, customers, orders, and enrollment bridge table.
Learn to define primary keys, foreign keys, and one-to-many relationships by creating customer and order tables and linking them.
Learn how database normalization improves data integrity by applying 1NF, 2NF, and 3NF to separate orders, order details, products, customers, and locations.
Create, modify, and delete databases and tables using Server Management Studio, including creating a database, creating a table, inserting data, altering tables to add columns, and dropping objects.
Enforce data integrity in SQL by applying not null, unique, and check constraints on a customers table, including primary key, email uniqueness, and age validation.
Learn how indexing improves SQL performance by creating and dropping indexes on the orders table, including primary key automatic indexing, and reducing full table scans.
Learn to create and manage SQL views (virtual tables) to filter IT department data from the employees table, apply a 10% salary increase, and drop views.
Explore stored procedures and functions in SQL Server, including creating tables and inserting data; learn to execute pre-compiled SQL blocks, use parameters, return values to boost performance and code reuse.
Explore triggers and events in SQL, including after insert triggers, alter and instead of triggers, and salary change auditing to automatically track salary updates.
Explore differences among MySQL, PostgreSQL, SQL Server, and SQLite, highlighting open-source roots, use cases, and features like auto-increment primary keys and advanced data types.
Demonstrates connecting a SQL server with Python using iodbc and pyodbc, creating a connection, and executing a table creation with commit.
Learn to connect SQL Server with Tableau and Power BI, query employee data, create charts, and build interactive dashboards for department insights and salary analysis.
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.