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Jun 19, 2024
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Practice intermediate and advanced SQL exercises using my curated ChatGPT prompt.
Revision for KCL Database winter exams. Includes SQL queries, database normalisation and data warehouse design.
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.
A full T-SQL project for managing and displaying programming course schedules using normalized database design, views, and queries. Includes ERD diagram and multilingual documentation.
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**
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.
SQL stash from LeetCode, GFG & HackerRank — synced so you don’t have to sweat it!
🌐 Dive into DBMS BASICS! A complete guide to mastering Database Management Systems 📚💻. Perfect for students & professionals to grasp core concepts, practices, & implementation 🚀. Unlock the power of data management today! 🔑✨
Solutions to Learn SQL's SQL Practice Challenges.
Annotated solutions to the "SQL Practice" exercises
A business process of a product that needs a relational database to work
This repository documented my journy solving SQl problems in multi websites like LeetCode and Hacker Rank
Hands-on SQL portfolio of 105 real-world problems showcasing analytical precision, performance tuning, and query mastery.
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