
Install a relational database server and SQL Server Management Studio, connect SSMS to the server, and create databases and tables to run queries such as select statements.
Publish a SQL case study's files to GitHub by creating a public repository, adding a readme, uploading DDL and DML SQL files, and committing changes to showcase on your resume.
Import and inspect 2024 t20 cricket match data in SQL Server. Load fields like team one, team two, winner, margin, date, and ground, then run select queries for data exploration.
Explore 2024 cricket data to identify matches between India and South Africa, use where with and/or, compute top wins with group by, then rank teams by wins using window functions.
Explore head-to-head records between two teams using variables, grouping, unions, and joins; identify month with the most T20i matches in 2024 and compute win percentages with CTEs and window ranking.
Publish your SQL case study files to a public GitHub repository by creating repo, adding readme, uploading data exploration, table creation, and insertion files, and committing changes for resume URL.
Remove null first names, format names to proper case, create full name, split city state country, standardize gender, and prepare dim_department_clean and unified patient_visit via union all.
Explore computing department revenue and visits, ranking departments by revenue within each category, and calculating average satisfaction and wait time per department through joins and groupings.
Publish SQL files to GitHub by saving the file as superstore_data_exploration, creating a new repository with a README, uploading all files, and committing changes; share the URL for resume.
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!