DrBenjamin.github.io

This repository hosts Dr. Benjamin's GitHub Pages site, featuring automated content synchronization from

• Analytical-Skills-for-Business
• DrBenjamin/Data-Science-and-Data-Analytics repositories. A static landing page links to the individual course HTML exports.

Content Updates

The site synchronizes content from course materials using GitHub Actions workflows.

How It Works

1. Source Repositories: Content is maintained in the two source repositories.
2. Quarto (or other) Authoring: Course material is authored in Quarto (.qmd) files and rendered to HTML.
3. Automated Build: This site’s workflow now checks out the source repositories, runs Quarto directly on the .qmd files to render fresh HTML and PDF artifacts, and stores them locally as:
   • analytical-skills.html
   • data-science-analytics.html
   • Analytical_Skills_for_Business.pdf
   • Data_Science_and_Data_Analytics.pdf
4. Static Landing Page: index.html is intentionally not overwritten; it links to the two course files.
5. GitHub Pages Deployment: Integrated into the unified workflow (build + deploy after successful renders).

Automation Features

• Scheduled Updates: Runs daily at 3 AM Berlin time (CET/CEST)
• Manual Triggering: Can be triggered manually from the Actions tab

Unified Workflow (.github/workflows/update-content.yml)

• Checks out both source repositories
• Sets up Python, R + Quarto (TinyTeX) environments
• Renders Analytical_Skills_for_Business.qmd and Data_Science_and_Data_Analytics.qmd (HTML + PDF)
• Copies/updates analytical-skills.html, data-science-analytics.html, PDFs, and resource directories
• Performs per-file change detection to avoid empty commits
• Builds Jekyll site (_site/) after content stage
• Deploys to GitHub Pages in the same workflow (separate deploy job)

🔧 Manual Operations

1. Go to the Actions tab
2. Select "Update and deploy to GitHub Pages"
3. Click "Run workflow" > "Run workflow" (on main branch)
4. Wait for both jobs: update-content then deploy to succeed

Testing the Setup

Run the verification script to test the automation:

./verify-automation.sh

📁 Repository Structure

.
├── .github/
│   └── copilot-instructions.md          # Instructions for GitHub Copilot
│   └── workflows/
│       └── update-content.yml           # Unified content build + Pages deploy
├── .gitignore                           # Ignore files for Git
├── .Rprofile                            # R profiling configuration
├── environment.yml                      # Conda environment for R + Quarto
├── install-packages.R                   # R script to install required packages
├── index.html                           # Static landing page linking to course HTML
├── analytical-skills.html               # Synced and generated course material (Analytical Skills for Business)
├── data-science-analytics.html          # Synced and generated course material (Data Science and Data Analytics)
├── Analytical_Skills_for_Business.pdf   # Synced and generated PDF export for linking
├── Data_Science_and_Data_Analytics.pdf  # Synced and generated PDF export for linking
├── verify-automation.sh                 # Script to verify automation setup
└── README.md                            # This file

📊 Site Content

The landing page provides navigational access to two sets of course materials (Fresenius University of Applied Sciences – International Business School):

• Analytical Skills for Business (Master Studies in Business Administration) → analytical-skills.html / Analytical_Skills_for_Business.pdf
• Data Science and Data Analytics (Bachelor Studies in International Business Management) → data-science-analytics.html / Data_Science_and_Data_Analytics.pdf

🔗 Related Repositories

• Source Content: DrBenjamin/Analytical-Skills-for-Business
• Source Content: DrBenjamin/Data-Science-and-Data-Analytics
• Live Site: https://drbenjamin.github.io

✍️ Authoring Requirements

Ensure each source repository contains the expected Quarto file at its root:

Analytical-Skills-for-Business: Analytical_Skills_for_Business.qmd
Data-Science-and-Data-Analytics: Data_Science_and_Data_Analytics.qmd