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‎README.md‎

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# ET6 Collaborative Data Science Project – Group 06
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[![CI Status](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-06-repo/actions/workflows/ci-checks.yml/badge.svg)](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-06-repo/actions/workflows/ci-checks.yml)
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Welcome to our MIT Emerging Talent Collaborative Data Science Project repository.
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This project explores how data science, collaboration, and domain expertise
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intersect to solve real-world problems. We are currently
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in **Milestone 0: Cross-Cultural Collaboration**, focused on building a solid
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foundation for effective teamwork.
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---
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## 👋 Meet the Team
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We are Group 06 from the 2025 MIT Emerging Talent program. Our team brings
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together diverse perspectives, technical backgrounds, and cultural experiences.
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Through this project, we hope to:
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- Strengthen our collaboration skills in a distributed, cross-cultural environment
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- Learn how to design and execute data-driven research as a team
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- Explore real-world applications of data science and contribute meaningful
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insights to a selected domain
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Our domain of interest will be defined in Milestone 1.
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---
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## 🔍 Project Overview
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- **Track:** Collaborative Data Science Project (CDSP)
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- **Team:** Group 06
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- **Domain of Interest:** _To be defined in Milestone 1_
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- **Timeline:** May–August 2025
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- **Status:** 🚧 In progress (Milestone 0)
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---
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## 📁 Repository Structure
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```bash
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.
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/
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├── README.md # Project overview and main findings
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├── /collaboration/ # Team norms, strategies, and retrospectives
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├── /notes/ # Shared resources and learning materials
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├── /0_domain_study/ # Domain research and background
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├── /1_datasets/ # Raw and processed datasets
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├── /2_data_preparation/ # Scripts for cleaning and processing data
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├── /3_data_exploration/ # Scripts for initial data understanding
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├── /4_data_analysis/ # Scripts for in-depth analysis
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├── /5_communication_strategy/ # Materials for communicating findings
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└── /6_final_presentation/ # Final presentation materials
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```
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---
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## 🧑‍🤝‍🧑 Collaboration Foundation
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- 🔹 [Group Norms](collaboration/guide/1_group_norms.md)
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- 🔹 [Communication Plan](collaboration/communication.md)
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- 🔹 [Constraints](collaboration/constraints.md)
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- 🔹 [Learning Goals](collaboration/learning_goals.md)
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- 🔹 [Retrospective (Milestone 0)](collaboration/retrospective.md)
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---
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## 🗓️ Project Milestones
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| Milestone | Focus | Status | Due Date |
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|----------|------------------------------|---------------|------------|
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| 0 | Cross-Cultural Collaboration | 🟡 In Progress | June 2 |
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| 1 | Problem Identification | ⏳ Upcoming | June 16 |
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| 2 | Data Collection | ⏳ Upcoming | June 30 |
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| 3 | Data Analysis | ⏳ Upcoming | July 21 |
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| 4 | Communicating Results | ⏳ Upcoming | August 11 |
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| 5 | Final Presentation | ⏳ Upcoming | August 25 |
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---
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## 🚀 Getting Started (For Contributors)
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```bash
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git clone https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-06-repo.git
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cd ET6-CDSP-group-06-repo
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```
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## 🛠️ Development Workflow
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Create a new branch for your solution:
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```bash
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git checkout -b feature/challenge-name
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```
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- Implement your solution in the solutions directory.
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- Add tests in the tests directory.
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- Submit a pull request for review.
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- Address review feedback.
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- Merge after approval.
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- Read our [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.
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- CI checks must pass before merging to `main`.
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---
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## 👥 Team Members
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- [Caesar](https://github.com/CaesarGhazi) ➡️
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- [Fahed](https://github.com/RandomProjects-db) ➡️
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- [Tomas](https://github.com/Sufi-to) ➡️
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- [Terry](https://github.com/terryekoe) ➡️
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- [Mohamed](https://github.com/MohammadRAlSalloum) ➡️
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- [Maria](https://github.com/MaRia19280) ➡️
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## 📄 License
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This project is licensed under the [MIT License](LICENSE).
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---
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> “Coming together is a beginning. Keeping together is progress. Working together
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is success.” – Henry Ford

‎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
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objectives for this project. While each member may have different goals,
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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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---
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### **Maria**
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---
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### **Mohammad**
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---
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### **Terry**
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---
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### **Tomas**
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---
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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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