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🚀 My Data Science Learning Journey

Welcome to my personal Data Science knowledge base. This repository is a collection of my learning notes, practice exercises, and code snippets, designed for both my personal reference and to help fellow learners.

🚧 Work in Progress

Please note that I am actively building this repository. I will be adding files and notes to each module one by one as I progress through my learning roadmap. Some folders might be empty for now, but they will be filled soon!

📂 Repository Structure

Below is the organized structure of my learning path:

My-Data-Science-Learning/
├── 📁 Python/
│   ├── 📝 basics_syntax_python_1.ipynb
│   ├── 📝 data_cleaning_pandas_2.ipynb
│   ├── 📝 array_operations_numpy_3.ipynb
│   ├── 📝 data_visualization_matplot_4.ipynb
│   └── 📝 Statistics_Scipy_5.ipynb
├── 📁 SQL/
│   └── 📝
├── 📁 Advance_excel/
│   └── 
├── 📁 Power_BI/
│   └── 
└── 📁 Tableau_dashboard/
    └──

🎯 Objectives

  • Structured Learning: Documenting every step of my data science roadmap.
  • Quick Reference: A digital diary for core concepts in Numpy, Pandas, SQL, Statistics, Tableau, Power BI.
  • Knowledge Sharing: A helpful resource for beginners to follow along.

🛠️ Tech Stack

  • Programming: Python (NumPy, Pandas, Matplotlib, SciPy)
  • Database: SQL
  • BI Tools: Power BI, Tableau, Advance Excel

"Documenting the process, mastering the data." 🌟