Resources for breaking into data roles
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This repository provides a curated, open-source handbook for individuals aspiring to enter fields like Data Analytics, Data Science, Data Engineering, Machine Learning, and Computer Science. It aims to consolidate valuable learning resources, communities, and project ideas to guide beginners through their career transition.
How It Works
The handbook functions as a community-driven, comprehensive directory of learning materials. It aggregates links to free and paid courses, essential books, active online communities, hackathon platforms, project repositories, influential content creators across various social media, relevant podcasts, and newsletters. This approach offers a structured yet flexible learning path by centralizing diverse educational content.
Quick Start & Requirements
Highlighted Details
Maintenance & Community
This is an open-source effort encouraging community contributions via Pull Requests. Links to relevant communities like "Break Into Data" and "MLOps Community" are provided.
Licensing & Compatibility
The repository content is provided under an unspecified license. Given its open-source nature and encouragement of contributions, it is likely intended for broad educational use. Compatibility for commercial use or closed-source linking would require explicit clarification from the maintainers.
Limitations & Caveats
The handbook is a directory and does not host any content directly; users are directed to external resources. The quality and relevance of external links are subject to change and depend on the maintainers' ongoing curation.
1 year ago
Inactive