Practice intermediate and advanced SQL exercises using my curated ChatGPT prompt.
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Updated
Aug 26, 2025 - Jupyter Notebook
Practice intermediate and advanced SQL exercises using my curated ChatGPT prompt.
Hands-on SQL practice tasks and database operations performed during NAVTTC training sessions and personal learning. The examples cover various database concepts such as DDL, DML, sequences, auto-increment, window functions, importing data from CSV, and more using **MySQL**
Final project in UC Davis's SQL for Data Science certificate course
A collection of real-world SQL practice questions with solutions, designed to strengthen query skills for data analysis and business insights. Includes scenarios for aggregation, joins, filtering, and advanced SQL techniques.
This repository is a portfolio of programming activities completed for the Computer Programming 2 (CP102) course at Manuel S. Enverga University Foundation during the academic year 2022-2023. The repository includes personal practice programs done as a supplement to learning. All programs were written in Python.
I've tackled intermediate-level SQL questions based on a real Olympic history dataset from Kaggle. These questions were generated by Tech TFQ. I've attempted to solve them using my own methods.
This repository documented my journy solving SQl problems in multi websites like LeetCode and Hacker Rank
Solutions to Learn SQL's SQL Practice Challenges.
A daily SQL learning journal with structured practice problems, raw data files, and query solutions.
A business process of a product that needs a relational database to work
This repository contains solved sql questions from sql-pratice.com with easy, medium and hard type questions mixed.
A repository where I present the solutions to the technical challenges on SQL-practice.com. The solutions include challenges from two distinct databases: hospital & northwind.
In this project we will explore the data from sql-practice.com
A complete SQL practice project covering A to Z queries including table creation, joins, aggregate functions, string operations, and timestamp handling. Built using customer and payment datasets to simulate real-world scenarios.
Personal SQL problem-solving practice based on Ankit Bansal's YouTube series, with logic-driven solutions for analyst prep.
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