
The Virgilio repository offers a comprehensive guide and mentor for data science e-learning. It provides structured content, tutorials, and resources to help learners navigate through the vast field of data science, making it an excellent starting point for beginners. The interactive website teaches fundamentals of statistics and Python, as well as various steps involved in a proper data science project, including machine learning models, data processing and visualization techniques, and automation.

The "Python Data Science Handbook" can be accessed through GitHub by visiting the repository at jakevdp/PythonDataScienceHandbook. The repository contains the full text of the book in Jupyter Notebooks, allowing readers to not only read the book for free but also run the notebook in Google Colab to experience various data science tasks in real time1. The book covers essential data science libraries in Python, such as NumPy, pandas, Matplotlib, Scikit-Learn, and more, making it a valuable resource for both beginners and experienced practitioners.

Microsoft's repository provides a 10-week, 20-lesson curriculum designed for beginners in data science. It offers comprehensive lessons and hands-on projects to build a solid foundation in data science concepts and techniques. Each lesson includes a sketch note, supplemental video, pre-lesson warm-up quiz, written lesson, guides, knowledge checks, challenges, supplemental reading, assignments, and post-lesson quizzes5.