Master SQL Fundamentals Video Course

The practical path to becoming a confident data professional

Whether you're a developer expanding your skills or just starting your tech journey, SQL is your gateway to working with data.

Learn SQL the right way - with hands-on practice, real-world scenarios, and zero fluff.

This Course is Perfect For You If...

You want to start a career in data analytics or engineering

You're a developer looking to expand into data

You want to understand data, not just copy queries

You are a product owner who wants to query some of the data yourself

After This Course, You'll Be Able To:

Write queries confidently
Extract meaningful insights from data
Work with databases like a professional
Solve real business problems with data

Work with any major database system
Make data-driven decisions
Take on data projects with confidence

Learn SQL The Right Way

Purpose-Built SQL IDE

Practice in a custom-built learning environment. Run queries, get instant feedback, and learn from guided exercises - all in your browser with zero setup.

Real-World Scenarios

Work with carefully designed datasets that mirror actual business data. Practice solving the kinds of problems you'll encounter in your data career.

Step-by-Step Curriculum

From basic queries to advanced database concepts - everything you need to become SQL proficient

1. Getting Started

Course overview and learning path
Using the interactive environment
Accessing course resources

2. Database Foundations

Understanding database types
Hosting options (managed, self-hosted)
Database engines comparison
Table structure fundamentals

3. SQL Fundamentals

SELECT statements and aliases
Column types and constraints
Primary and foreign keys
Table creation and data insertion
Data modification and deletion

4. Data Filtering & Analysis

WHERE clauses and conditions
LIKE, NULL, IN operators
GROUP BY and aggregate functions
LIMIT and ORDER BY operations

5. Advanced Topics

Working with JSON data
Understanding JOIN types
Subqueries and nested queries

6. Best Practices

Query optimization basics
Working with large datasets
Soft deletes and data integrity
Real-world application tips

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