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


Real-World SQL Projects: 5 Hands-On Case Studies | Udemy [Update 11/2025]
English | Size: 2 GB
Genre: eLearning

Hands-on SQL projects: data cleaning, data exploration, CTEs, window functions, business analysis & portfolio building

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

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
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