Welcome to my Python learning repository! This repository documents my structured 12-month journey to master Python for Data Science and Engineering, aligned with industry standards and my goal of transitioning into a data-driven career.
To build a solid foundation in Python programming and transition into roles such as Data Analyst, Data Scientist, and Data Engineer. This journey focuses on writing clean, modular, and efficient code.
I am following a systematic 12-month plan covering the following phases:
- Phase 1: Python Foundation (OOP, Exception Handling, Logging)
- Phase 2: Data Analysis (NumPy, Pandas, EDA)
- Phase 3: SQL & Database Management
- Phase 4: Machine Learning (Scikit-learn, XGBoost)
- Phase 5: Data Engineering (ETL, API, Docker)
- Phase 6: Capstone Project (Dublin Smart Transit)
My_Python_journey/
├── Phase_01_Python_Basics/
│ ├── exercises/
│ └── mini_projects/
├── Phase_02_Data_Analysis/
├── ...
└── README.md