This project presents a set of SQL queries developed for analyzing the IMDb Top 1000 Movies dataset.
The goal is to practice and demonstrate key SQL skills such as data cleaning, aggregation, filtering, ranking, and analytical queries using SQLite and Python.
Dataset: IMDb Top 1000 Movies - Kaggle
This project presents a complete end-to-end SQL analysis based on the Brazilian E-Commerce Public Dataset from Olist.
The goal is to design a relational database, load multiple CSV files, and perform SQL queries covering data exploration, aggregation, joins, and window functions using SQLite and Python.
Dataset: Kaggle - Brazilian E-Commerce Public Dataset by Olist