Ever wondered what your favorite movies look like through the lens of data?
In this project, I built a complete ETL pipeline to clean and structure the MovieLens dataset, then applied Python + SQL analysis to uncover trends in ratings, genres, and viewer behavior.
Digital Foundations Series: 120+ practical activities designed to take students from basic computer use to mastery. Open-source educational materials for IT/ICT teachers and students.
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49
Sending Automatic Reports via Email (Automating Notifications with smtplib)
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191
Popular Videogames Analysis: From Flat Data to Relational Insights
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49
Weather Data Analyzer (REST API Interaction, HTTP Requests, and JSON Processing)
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36
Visual Analysis of Sales Data (Data Visualization with the Matplotlib Library)
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41
Inventory System with ORM (Database Abstraction with SQLAlchemy (Object-Relational Mapping))
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37
Task Management System (CRUD Application with SQLite Database)
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27
Sentiment Analysis of Movie Reviews
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26
Home Value Prediction (Regression)
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23
Geospatial Analysis of Traffic Accidents in the United Kingdom
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27
Time Series and Trend Analysis
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31
ETL and Data Analysis of Movies
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23
Academic Management — Database Development & SQL Analytics
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30
Database Modeling - E-Commerce Platform
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24
Book Catalog Web Scraper (Web Data Extraction with Python)