Skip to content

learning_goals.md

Latest commit

 

History

History
85 lines (62 loc) · 2.62 KB

learning_goals.md

File metadata and controls

85 lines (62 loc) · 2.62 KB

🎯 Learning Goals

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.

🤝 Collective Goals

As a team, we aim to:

  • Strengthen our collaborative skills in a remote, cross-cultural setting.
  • Apply the data science lifecycle to a real-world problem from domain exploration to final communication.
  • Improve project planning and task ownership using GitHub tools (Issues, Projects, PRs).
  • Produce clean, reproducible, and well-documented code and analyses.
  • Deliver clear, impactful results through visualizations and stakeholder-oriented communication.
  • Build confidence in reviewing and giving feedback on technical work.

👤 Individual Goals

Fahed

  • Improve GitHub fluency: project boards, CI/CD, and PR workflows.
  • Gain confidence in collaborative writing and documentation.
  • Practice clean Python code and code review habits.
  • Strengthen data visualization and storytelling skills.
  • Deepen understanding of exploratory data analysis (EDA) techniques.
  • Learn how to design and document a data pipeline collaboratively.
  • Gain confidence in managing raw datasets ethically and responsibly.
  • Improve research and domain framing skills.
  • Get familiar with reproducibility tools and Jupyter workflows.
  • Practice writing readable, reusable Python functions.
  • Focus on time management and structured task planning.
  • Strengthen understanding of data ethics and licensing.
  • Learn how to structure CI/CD for data science–oriented projects.

Caesar

  • Develop the ability to work collaboratively with team members to solve complex data science problems
  • Learn how to collect data, data types, and key metrics to satisfy our research question.
  • Develop interpersonal skills for working in diverse and interdisciplinary teams.
  • Gain hands-on experience using diverse tools of collaboration (Git, Github).
  • Solidify my knowledge in python, and using it in a real life project.

Maria

Mohammad

  • Build interactive and dynamic data visualizations using Python libraries.
  • Master fundamental algorithms and data structures.
  • Learn how to organize data in tables and files efficiently.
  • Enhance proficiency with GitHub tools.
  • Practice writing efficient, well-structured Python code, emphasizing readability and reusability.
  • Improve problem-solving skills

Terry

Tomas

"Learning is not attained by chance, it must be sought for with ardor."
— Abigail Adams (adapted)