USE_CASES.md

This guide outlines how to navigate the Learning Library depending on your goals and experience level.

🎓 1. For Researchers Designing a Study

Goal: Ground your research in solid paradigms and practical methods.

Recommended Path:

  • 📘 03_research_methods/Research Methods Handbook.pdf
  • 📘 03_research_methods/Network Collective Action.pdf
  • 📘 02_data_science/An Introduction to R.pdf (for analyzing collected data)

🤖 2. For AI-Enhanced Productivity in Excel

Goal: Use AI tools like Copilot and ChatGPT to speed up spreadsheet work.

Recommended Path:

  • 📘 02_data_science/Learning Generative AI Tools for Excel.pdf
  • 🧰 workbooks/excel_prompt_templates.md (includes reusable prompts)
  • Also keep an eye on 04_ai_tools/ for future additions

📈 3. For Self-Learners Upskilling in Data Science

Goal: Build foundations in programming, analysis, and visual interpretation.

Recommended Path:

  • 🎨 01_programming/An Artist's Guide to Programming.pdf (especially for visual thinkers)
  • 📘 02_data_science/An Introduction to R.pdf
  • 🖍️ 05_visual_summaries/101 Data Science Drawings.pdf