Coursework Portfolio
Welcome! This repository contains coursework, projects, and assignments completed during my Master's program in Applied Data Science at the University of North Carolina at Chapel Hill, completed in Summer 2025.
- Purpose: To archive and showcase the data science skills I developed across statistical modeling, machine learning, data visualization, and ethics.
- Structure: Organized by course, with project folders, Jupyter notebooks, write-ups, and visualizations.
- Use Case: Ideal for recruiters, collaborators, or instructors seeking to explore my academic projects and technical depth.
| Category | Details |
|---|---|
| Languages | Python, R, SQL |
| Libraries & Tools | pandas, scikit-learn, ggplot2, D3.js, Tableau, Git, etc. |
| Techniques | Statistical modeling, machine learning, data visualization |
| Practices | Version control, documentation, reproducible workflows |
- All coursework is provided here for demonstration and educational use.
- Contact Me: If you'd like access to raw data, detailed write-ups, or have questions, feel free to reach out via my email at
skylar.t.furey@gmail.com.
Thank you for exploring my academic portfolio!