Dr. Gonsalge Almeida

Technical Foundations Bootcamp (Weeks 1–4)

RSH7033 — Applied Multivariate Statistics (DBA)
Trine University — TrineOnline / CGPS

This four-week technical module prepares students to build, document, and deploy a fully reproducible multivariate research project using professional Git workflows.

Weeks 1–4 → Technical Preparation
Weeks 5–8 → Final Git-Managed Research Project

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WEEK 1 — Unix Environment & Git Foundations

Modern research workflows operate in Unix-like systems (Linux/macOS).

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Step 1: Access a Unix Terminal

• macOS → Terminal
• Linux → Default shell
• Windows → Install one of:
  • WSL
  • Git Bash
  • Cygwin

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Step 2: Learn the Linux Command Line

• Ubuntu Tutorial
• Linux Command Reference

Master these commands:

• pwd
• ls
• cd
• mkdir
• rm
• cp
• mv

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Step 3: Install Git & Setup GitHub

• Install Git
• Create GitHub Account
• Setup SSH Authentication

git config --global user.name "Your Name"
git config --global user.email "your.email@trine.edu"
ssh-keygen -t ed25519 -C "your.email@trine.edu"

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Step 4: Git Practice

• Official Git Tutorial
• Interactive Branching Practice

Complete:

• Introduction Sequence
• Push & Pull — Git Remotes

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WEEK 1 DELIVERABLE

• GitHub repository created
• SSH configured
• Minimum 10 commits
• At least one branch created and merged
• Professional README file

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WEEK 2 — HTTP & HTML Foundations

Understanding web communication is essential for API and data extraction work.

HTTP Basics

• HTTP Overview
• HTTP Methods

Understand:

• Request vs Response
• GET vs POST
• Status codes

HTML Fundamentals

• HTML Introduction
• HTML Elements
• HTML Attributes

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WEEK 2 DELIVERABLE

• Create /web-foundations folder
• Markdown summary of HTTP basics
• Annotated HTML example
• Commit to GitHub

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WEEK 3 — Regular Expressions

Regex is essential for structured text extraction.

• RegexOne Tutorial
• Regex Practice (Python Flavor)
• Python re Documentation

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WEEK 3 DELIVERABLE

• At least 5 regex examples documented
• Example input/output
• Clear explanation of patterns
• Committed to repository

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WEEK 4 — Reproducible Research with Binder

Professional research must be executable by others.

• Jupyter Overview
• Binder Documentation

Milestone Project — Binder Deployment

1. Create a public GitHub repository
2. Add a Jupyter notebook (.ipynb)
3. Include datasets
4. Create a requirements.txt file
5. Add Binder badge to README
6. Verify notebook runs successfully

Example requirements.txt:

pandas
numpy
matplotlib
seaborn
scikit-learn

Example Binder badge:

[![Launch Binder](https://mybinder.org/badge_logo.svg)]
(https://mybinder.org/v2/gh/yourusername/yourrepo/HEAD)

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WEEK 4 DELIVERABLE

• Public repository
• Functional Binder link
• Reproducible notebook
• Clean documentation
• Minimum 20 total commits

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WEEKS 5–8 — Final Multivariate Research Project

Students apply all technical foundations to build a full research project using:

• Structured branching
• Frequent commits
• Version-controlled analysis
• Documented data cleaning
• Binder deployment
• Final merged submission

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PROFESSIONAL STANDARD BY WEEK 8

• 30+ meaningful commits
• Logical branch structure
• Clear README documentation
• Reproducible Binder environment
• Organized folder structure
• Professional commit messages

Version control competency is part of the academic assessment in RSH7033.

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