Hands-on SQL projects: data cleaning, data exploration, CTEs, window functions, business analysis & portfolio building
Are you comfortable writing SQL queries but struggle when it comes to applying them to real-world scenarios?
Do you want to build a strong SQL portfolio that you can showcase to employers?
If yes, this course is designed for you!
What you’ll learn
- Apply SQL to real-world datasets.
- Explore and analyze data effectively.
- Write professional, optimized SQL queries.
- Build and publish SQL portfolio projects.
- Advanced SQL concepts.
Course Content
- Introduction –> 3 lectures • 10min.
- SQL Case Study 1 – IPL Teams Analysis –> 5 lectures • 45min.
- SQL Case Study 2 – T20I Cricket Matches Analysis –> 5 lectures • 51min.
- SQL Case Study 3 – Flight Data Analysis –> 5 lectures • 49min.
- SQL Case Study 4 – Hospital Data Analysis –> 6 lectures • 1hr 4min.
- SQL Case Study 5 – Superstore Data Analysis –> 5 lectures • 51min.
- Summary –> 1 lecture • 2min.
Requirements
Are you comfortable writing SQL queries but struggle when it comes to applying them to real-world scenarios?
Do you want to build a strong SQL portfolio that you can showcase to employers?
If yes, this course is designed for you!
Welcome to “Real-World SQL Projects: 5 Hands-On Case Studies”, a complete practical course where we take real datasets and solve real business problems using SQL. No theory-only teaching, no textbook examples—this is a fully hands-on, project-based learning experience.
Throughout this course, you will work on five industry-style SQL case studies, including:
SQL Case Study 1 – IPL Teams Analysis
SQL Case Study 2 – T20I Cricket Matches Analysis
SQL Case Study 3 – Flight Data Analysis
SQL Case Study 4 – Hospital Data Analysis
SQL Case Study 5 – Superstore Data Analysis
Each project follows a structured approach:
- Understanding the dataset and business problem
- Data cleaning and preprocessing within SQL
- Data exploration and insight generation
- Solving real business questions
- Writing optimized SQL queries
- Using advanced SQL techniques
- Publishing the project to GitHub to build your portfolio
By the end of this course, you will be able to:
- Apply SQL to real-world datasets
- Perform data cleaning, transformation, and preprocessing in SQL
- Explore and analyze data effectively
- Answer business questions using SQL
- Write professional, optimized SQL queries
- Build and publish SQL portfolio projects on GitHub
Along the way, you will learn and practice many advanced SQL concepts, including:
- CTEs (Common Table Expressions)
- Window Functions
- Subqueries
- UNPIVOT and Pivoting Techniques
- CASE Statements and Conditional Logic
- Ranking & Aggregation Functions
- Joins
- Date and Time Functions
- String Manipulation
- Data Formatting and Categorization
Why This Course is Different
This is not just another SQL tutorial.
This course focuses on:
- Real business problems
- End-to-end project workflow
- Practical, job-ready SQL skills
- Portfolio creation and GitHub publishing
You won’t just learn how SQL works—you’ll learn how SQL is used in real analytics work.
Join me in this exciting hands-on journey and build 5 real SQL projects that you can proudly showcase in your resume, LinkedIn, and GitHub portfolio.
Let’s get started!