adlt-learning-journal

🧠 A personal self-learning journal and knowledge vault for mathematics, statistics, economics, and coding.

This repository is not a polished portfolio—it's a living, organized archive of notes, resources, cheat sheets, and references that support my ongoing self-education and skill development.

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✍️ Purpose

This repository functions as:

• A centralized space to store and revisit key learning material.
• A reference bank for revising econ/stats/math/coding topics.
• A behind-the-scenes complement to my project portfolio (work in progress).
• A space to experiment with and document learning workflows in R, Python, Stata, and more.

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📁 Folder Structure

adlt-learning-journal/
│
├── coding_learning/      # Notes, guides, cheat sheets, and resources related to R, Python, Git, etc.
├── econ/                 # Economic theory, models, IO, macro, micro, and applied policy material.
├── math/                 # Pure math topics: calculus, algebra, linear algebra, proofs, etc.
└── stats/                # Probability, inferential statistics, regression, and statistical modeling.
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🛠️ Tools Used

• VS Code
• Git / GitHub
• R / RStudio
• LaTeX / Overleaf
• Python

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🧭 Future Ideas

• Add markdown summaries for each folder
• Turn problem-solving sessions into blog-style writeups
• Link to finished coding projects in a separate portfolio repo

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📌 Note

This repo is primarily for personal use and growth. You're welcome to explore, learn from, or fork it if you're on a similar path. No guarantees that everything is up-to-date or typo-free—it's a snapshot of a learning journey in motion.

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📫 Contact

If you’re interested in connecting or collaborating, feel free to reach out via github.com/adelatorre2.