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Real-World SQL Projects: 5 Hands-On Case Studies
Rating: 4.7 out of 5(21 ratings)
140 students

Real-World SQL Projects: 5 Hands-On Case Studies

Hands-on SQL projects: data cleaning, data exploration, CTEs, window functions, business analysis and portfolio building
Created byVivek P.
Last updated 6/2026
English

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

7 sections30 lectures4h 31m total length
  • Course Introduction2:37
  • How to approach this course?3:04
  • Environment Setup4:17

    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.

Requirements

  • Good working knowledge of SQL
  • Willingness to learn and practice hands-on

Description

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!

Who this course is for:

  • SQL learners who want practical experience
  • Data Analysts / BI Analysts
  • Data Engineering and Data Science beginners
  • Students preparing for analytics interviews
  • Anyone looking to build a strong SQL portfolio