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Real-World SQL Projects: 5 Hands-On Case Studies
Published 11/2025
Duration: 4h 31m | .MP4 1280x720 30fps(r) | AAC, 44100Hz, 2ch | 2.24 GB
Genre: eLearning | Language: English
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
Requirements
- Good working knowledge of SQL
- Willingness to learn and practice hands-on
Description
Are you comfortable writing SQL queriesbut 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 fullyhands-on, project-basedlearning experience.
Throughout this course, you will work onfive industry-style SQL case studies, including:
SQL Case Study 1 - IPL Teams AnalysisSQL Case Study 2 - T20I Cricket Matches AnalysisSQL Case Study 3 - Flight Data AnalysisSQL Case Study 4 - Hospital Data AnalysisSQL 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 manyadvanced 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 learnhowSQL works-you'll learnhow 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
More Info
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