This repository provides a comprehensive, self-learning roadmap for aspiring data scientists, covering foundational concepts to advanced topics. It curates free resources like videos, articles, and books, catering to individuals looking to enter the data science field. The roadmap is structured into Beginner, Intermediate, and Advanced phases, guiding users through essential skills and technologies.

How It Works

The roadmap is organized by topic and skill level, offering a structured learning path. It emphasizes a hands-on approach, recommending practical projects and competitions for skill reinforcement. Key areas covered include statistics, programming (Python, R), data manipulation (Pandas, NumPy), data visualization, machine learning, deep learning, NLP, and MLOps. The project also differentiates between Data Science, Data Analytics, and Data Engineering roles.

Quick Start & Requirements

• Installation: No specific installation is required for the roadmap itself, as it's a curated list of resources. Users will need to install recommended tools like Anaconda, Python, R, IDEs (VS Code, PyCharm), and potentially cloud platforms for specific projects.
• Prerequisites: Basic programming and mathematical understanding are recommended before diving deep into machine learning.
• Resources: The roadmap links to numerous free online courses, YouTube channels, books, and articles.

Highlighted Details

• Extensive curation of free learning resources, including many Arabic-language materials.
• Clear distinction between Data Science, Analytics, and Engineering roles.
• Emphasis on practical application through projects, competitions (Kaggle), and interview preparation.
• Includes sections on essential tools like Git, SQL, and dashboards (Power BI, Tableau).
• Covers emerging areas like LLMs and Prompt Engineering.

Maintenance & Community

The repository is maintained by Moataz Elmesmary. Community engagement is encouraged through starring the repository. Links to relevant Arabic data science communities and podcasts are provided.

Licensing & Compatibility

The repository itself is not software and does not have a specific license. The linked resources may have their own licenses, which users should verify.

Limitations & Caveats

The roadmap is a curated list and does not provide direct learning materials or code. Users are responsible for accessing and utilizing the external resources. The rapidly evolving nature of data science means some linked resources may become outdated.