python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
aws login
config.py: region and model IDs (one place to change them)data/: orders, company docs (RAG, caching), receipt.pnggenai/: A02-A07 (Amazon Bedrock)agents/: B02-B07 (Strands Agents, AgentCore)
Tutorials teach you a tool. They don't turn into a portfolio, and a pile of bookmarks doesn't turn into a skill set.
The Data Science & AI Workspace is a guided self-study system built in Notion. It takes you from Python foundations to modern AI, and every step ends in something you can build, test and put on GitHub.
Not a course. Not another PDF. A system for learning, practicing and building.
| 🗺️ Structured roadmap | 4 modules, 27 submodules: Python & Data Foundations → Math & Stats → Core Machine Learning → AI & Modern ML. Always know what to learn next. |
| 📚 Curated resources | Selected free resources matched to every stage, so you don't waste weeks searching. |
| 🛠️ Practice built in | Practical exercises and self-checks throughout, so knowledge turns into ability. |
| 🏗️ 5 capstone projects | Substantial projects that combine skills. Put them on GitHub, deploy them, discuss them in interviews. |
| 🎯 Interview quiz simulator | 35 questions across 7 topics: Python & Pandas, SQL, Statistics & Probability, Core ML, Model Evaluation, Deep Learning & NLP, Applied Case & Product Sense. |
| ⏱️ Time tracker | Make your progress visible and build consistency. |
| 🌑 Dark terminal theme | Built for long study sessions. |
Roadmap → Resource → Practice → Project → GitHub
Learn less randomly. Build more intentionally.
- Self-learners tired of unfinished courses and scattered tutorials
- Beginners who want a clear route into data science & AI
- Anyone who wants projects and proof, not just certificates
- AWS Community Builder
- Udemy instructor, 1,600+ students