This repository contains coursework and projects for my Data Science course at university. It includes practical exercises covering key topics in data science:
- SQL Module: Database fundamentals, basic and advanced SQL queries
- Python Module: Python basics, data manipulation, and visualization
- Machine Learning Module: Classification, clustering, and regression techniques
- Data Mining Module: Data mining applications and techniques using both Python and SQL
Each module includes Jupyter notebooks with hands-on examples and datasets for practical learning and experimentation.
The repository is organized by module, with each folder containing relevant notebooks, datasets, and code examples.
- Python
- SQL
- Jupyter Notebooks
- Common data science libraries (pandas, numpy, scikit-learn, matplotlib, etc.)