This repository provides a comprehensive 10-week, 20-lesson curriculum designed to introduce beginners to the field of data science. It covers fundamental concepts, ethical considerations, data handling, visualization, and real-world applications, targeting individuals new to data science, including students and educators. The project's project-based pedagogy and integrated quizzes aim to enhance learning retention and practical skill development.

How It Works

The curriculum employs a project-based learning approach, where each lesson includes pre- and post-lesson quizzes, written instructions, solutions, and assignments. This methodology reinforces learning through practical application. Key topics include data ethics, statistics, working with relational and NoSQL data, Python for data exploration (using libraries like Pandas), data preparation, various data visualization techniques with Matplotlib, the data science lifecycle, and cloud-based data science with Azure ML Studio.

Quick Start & Requirements

• Installation: Fork the repository. For offline access to documentation, install Docsify and run docsify serve in the root folder. Notebooks require a separate Python kernel (e.g., in VS Code).
• Prerequisites: Basic Python programming knowledge is recommended for Lesson 7. Docker is required for using VS Code Remote-Containers.
• Resources: The curriculum is designed for self-paced learning. Links to a Student Hub page, Microsoft Learn, and other related curricula are provided.

Highlighted Details

• 10-week, 20-lesson structure with a focus on project-based learning.
• Each lesson includes pre- and post-lesson quizzes, written content, solutions, and assignments.
• Covers a broad range of data science topics from foundational concepts to cloud deployment.
• Includes guidance for teachers on curriculum usage and community feedback channels.

Maintenance & Community

The project is maintained by Azure Cloud Advocates at Microsoft, with contributions from numerous authors, reviewers, and student ambassadors. Feedback is welcomed in the discussion forum. Related curricula on Generative AI, ML, Cybersecurity, and more are also available.

Licensing & Compatibility

The repository's license is not explicitly stated in the provided README text. Compatibility for commercial use or closed-source linking would require clarification of the licensing terms.

Limitations & Caveats

The README mentions that quizzes are gradually being localized, implying that some may not yet be available in all languages. Notebooks are not rendered by Docsify and require separate execution environments.