This repository contains my SQL practice exercises solved on Kaggle, covering both standard SQL and Google BigQuery SQL.
I already have prior exposure to SQL, and this repository is maintained for regular practice, revision, and strengthening query-writing skills using real-world style datasets and problems.
- Practice SQL queries regularly to stay consistent
- Improve query logic, optimization, and readability
- Strengthen understanding of real-world datasets
- Prepare for technical interviews, assessments, and case studies
- Gain hands-on experience with BigQuery SQL dialect
- SELECT, WHERE, ORDER BY
- Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)
- GROUP BY & HAVING
- JOINs (INNER, LEFT, RIGHT)
- Subqueries & Nested Queries
- Common Table Expressions (CTEs)
- Window Functions
- Date & String Functions
- Query Optimization Basics
- BigQuery-specific SQL syntax
All exercises are taken from Kaggle Learn – SQL Courses:
- Intro to SQL
- Advanced SQL
- BigQuery Basics
Each file/notebook contains:
- Kaggle problem context
- My SQL solution queries
- Clean and readable formatting
- Query Language: SQL
- Platform: Kaggle Learn
- Database Engine: Google BigQuery
- Editor: Kaggle Notebooks / VS Code
This repository is updated regularly to:
- Maintain SQL consistency
- Practice diverse query patterns
- Improve performance and clarity
This is a personal practice repository. Suggestions, optimizations, and alternative approaches are welcome.
Bhupendra Shivhare
Aspiring Data Scientist | Deep Learning Enthusiast
-
📧 Email: shivharebhupendra0@gmail.com
If you are practicing SQL or preparing for Data/Data Engineering roles, feel free to connect.
⭐ If you find this repository useful, consider giving it a star!
Happy Querying! 🚀