This project is a curated educational curriculum and technical skill roadmap designed to guide learners through the core competencies required for professional data science roles. It provides a structured sequence of educational materials and tutorials, arranging prerequisite skills and advanced topics into a dependency-based learning path.
The curriculum covers specific training tracks for data science fundamentals, machine learning study plans, and data engineering guides. These tracks focus on the theoretical knowledge and practical skills needed to manage data pipelines, apply statistics and programming, and build predictive models.
The roadmap utilizes a hierarchical topic taxonomy and modular lesson architecture to organize diverse technical subjects into manageable units. This system maps conceptual nodes to external educational resources, providing a linear sequence for career transition guidance and curriculum path planning.
