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ANA600 & ANA605 — Additional Resources Repository

National University
Instructor: Matthew C. Vanderbilt


📘 Purpose of This Repository

This repository provides additional resources, datasets, templates, and instructional examples for students enrolled in:

  • ANA600 — Fundamentals of Analytics
  • ANA605 — Analytic Models & Data Systems

These materials supplement the core course content and offer extended opportunities for:

  • Practicing analytics and data systems concepts
  • Exploring clean, auditable, and reproducible workflows
  • Reviewing high‑quality examples aligned with industry standards
  • Strengthening your technical and conceptual understanding

This repository is not open‑source. It is educational source‑available and governed by a custom license restricting use to enrolled students.


🧭 How to Use These Resources

These materials are designed to support your learning, not replace your assignments or required readings. You can use them to:

  • Review examples of clean, well‑documented analytics workflows
  • Explore additional datasets for practice
  • Reference templates that demonstrate professional documentation standards
  • Compare your approach to instructor‑provided examples
  • Reinforce concepts taught in lectures and assignments

You should not copy these resources into your assignments. Instead, use them as guides to help you understand structure, style, and best practices.


🎓 Code Usage Policy (Summary for Students)

The code in this repository is protected under an Educational Use License.
You may use and modify the code only for completing coursework in ANA600 or ANA605.

Course Repository Link

https://github.com/mcvanderbilt/nu-ana600-605-student-resources

✅ What You Can Do

  • Use the code for assignments
  • Modify it as part of your coursework
  • Submit your modified version

❌ What You Cannot Do

  • Post the code or your modified version anywhere
    (GitHub, Chegg, StackOverflow, CourseHero, Reddit, etc.)
  • Share the code with anyone outside the course
  • Use AI tools (Copilot, ChatGPT, Gemini, Claude, etc.) to modify or generate code
  • Use the code after the course ends

📝 If You Modify the Code

Include the following in your header:

  • “Modified from original code by Matthew C. Vanderbilt for ANA600/ANA605 coursework.”
  • A short description of your changes
  • Your name
  • Your National University student ID

Violations may result in academic integrity actions.


📄 Full License

See the file:
LICENSE — Educational Use License (ANA600 & ANA605)

This license governs:

  • Permitted uses
  • Attribution requirements
  • Prohibited activities
  • AI‑assisted modification restrictions
  • Redistribution restrictions
  • Termination conditions

📘 NOTICE

See the file:
NOTICE — Rights and Usage Notice

This file summarizes the rights, restrictions, and intended use of the materials in this repository.


🧩 File Header Template

Include this at the top of any file you modify:


🗂️ Repository Structure

/
├── LICENSE
├── NOTICE
├── README.md
│
├── data/
│   ├── README.md                # Descriptions of datasets and their intended use
│   ├── sample_data.csv          # Example datasets for practice
│   └── ...                      # Additional datasets for exploration
│
├── examples/
│   ├── analytics_workflows/     # Instructor-provided workflow examples
│   ├── visualization/           # Example plots, charts, and visualizations
│   ├── sql_queries/             # Example SQL patterns and best practices
│   └── ...                      # Additional instructional examples
│
├── templates/
│   ├── analysis_template.md     # Template for structuring analytics writeups
│   ├── documentation_template.md# Template for documenting code and workflows
│   ├── project_structure/       # Example folder structures for assignments
│   └── ...                      # Additional templates for student use
│
└── exercises/
    ├── guided_labs/             # Optional guided practice labs
    ├── practice_problems/       # Additional exercises for skill-building
    ├── mini_projects/           # Small, optional applied analytics tasks
    └── ...                      # Additional practice materials

📬 Questions?

If you're unsure whether something is allowed, please ask before submitting work.
Clear communication prevents academic integrity issues and supports your learning.

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