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collaboration/learning_goals.md

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# Learning Goals
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# 🎯 Learning Goals
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## Collective
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This document outlines both our shared and individual learning objectives for this project. While each member may have different goals, aligning expectations early ensures stronger collaboration and more meaningful outcomes.
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## Individual
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---
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## 🤝 Collective Goals
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As a team, we aim to:
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- Strengthen our collaborative skills in a remote, cross-cultural setting.
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- Apply the data science lifecycle to a real-world problem
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from domain exploration to final communication.
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- Improve project planning and task ownership using
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GitHub tools (Issues, Projects, PRs).
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- Produce clean, reproducible, and well-documented code and analyses.
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- Deliver clear, impactful results through visualizations and
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stakeholder-oriented communication.
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- Build confidence in reviewing and giving feedback on technical work.
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---
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## 👤 Individual Goals
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### **Fahed**
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- Improve GitHub fluency: project boards, CI/CD, and PR workflows.
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- Gain confidence in collaborative writing and documentation.
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- Practice clean Python code and code review habits.
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- Strengthen data visualization and storytelling skills.
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- Deepen understanding of exploratory data analysis (EDA) techniques.
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- Learn how to design and document a data pipeline collaboratively.
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- Gain confidence in managing raw datasets ethically and responsibly.
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- Improve research and domain framing skills.
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- Get familiar with reproducibility tools and Jupyter workflows.
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- Practice writing readable, reusable Python functions.
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- Focus on time management and structured task planning.
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- Strengthen understanding of data ethics and licensing.
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- Learn how to structure CI/CD for data science–oriented projects.
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---
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### **Caesar**
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### **Maria**
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### **Mohammad**
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### **Terry**
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### **Tomas**
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> *"Learning is not attained by chance, it must be sought for with ardor."*
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> *— Abigail Adams (adapted)*

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