{"adoption": {"forks": 7437, "observed_at": "2026-08-28T04:12:01.246525+00:00", "stars": 36735}, "canonical_url": "https://ross.abutalabs.com/products/data-science-for-beginners", "card": {"archived": false, "artifact_type": "learning-resource", "description": "10 Weeks, 20 Lessons, Data Science for All!", "domain": ["data-science", "education", "tutorials"], "enriched": true, "function": ["data-science", "data-visualization", "nlp"], "health_score": 79, "homepage": null, "language": "Jupyter Notebook", "license": "MIT", "license_family": "permissive", "maturity": "stable", "member_repos": ["microsoft/Data-Science-For-Beginners"], "name": "microsoft/Data-Science-For-Beginners", "platform": ["python", "cross-platform"], "pushed_at": "2026-08-20T01:11:34+00:00", "repo": "microsoft/Data-Science-For-Beginners", "stars": 36735, "tags": ["curriculum", "beginners", "jupyter-notebooks", "pandas", "microsoft", "project-based-learning"], "topics": ["data-science", "python", "data-visualization", "data-analysis", "pandas", "microsoft-for-beginners"], "urls": [], "use_cases": ["learn data science from scratch", "find a structured data science curriculum for beginners", "teach an introductory data science course", "practice data analysis with pandas and Python", "learn data visualization basics", "get hands-on data science assignments with solutions"], "what_it_is": "A free 10-week, 20-lesson open-source curriculum from Microsoft teaching data science fundamentals through project-based learning. Each lesson includes quizzes, written instructions, solutions, and assignments using Python and Jupyter notebooks.", "when_to_avoid": ["you need advanced or specialized data science topics like deep learning or MLOps", "you want a tool or library rather than educational content", "you need certification or instructor-led training"], "when_to_choose": ["you are a beginner wanting a free, structured, project-based path into data science", "you are an educator looking for ready-made lessons, quizzes, and assignments", "you prefer learning with Jupyter notebooks and Python"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/data-science-for-beginners", "repo": "microsoft/Data-Science-For-Beginners", "role": "main", "score": 76}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:12:01.246525+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T16:25:51.273053+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8878c1b454b6c61a743ae7799ddfa86fcd17edcb2e77f66b4b20ef57968d60af", "fetched_at": "2026-08-28T04:12:01.246525+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/Data-Science-For-Beginners"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:12:01.246525+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T16:25:51.273053+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8878c1b454b6c61a743ae7799ddfa86fcd17edcb2e77f66b4b20ef57968d60af", "fetched_at": "2026-08-28T04:12:01.246525+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/Data-Science-For-Beginners"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T16:25:51.273053+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8878c1b454b6c61a743ae7799ddfa86fcd17edcb2e77f66b4b20ef57968d60af", "fetched_at": "2026-08-28T04:12:01.246525+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/Data-Science-For-Beginners"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:12:01.246525+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:12:01.246525+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:12:01.246525+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T16:25:51.273053+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8878c1b454b6c61a743ae7799ddfa86fcd17edcb2e77f66b4b20ef57968d60af", "fetched_at": "2026-08-28T04:12:01.246525+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/Data-Science-For-Beginners"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:12:01.246525+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:12:01.246525+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T16:25:51.273053+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8878c1b454b6c61a743ae7799ddfa86fcd17edcb2e77f66b4b20ef57968d60af", "fetched_at": "2026-08-28T04:12:01.246525+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/Data-Science-For-Beginners"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:12:01.246525+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:12:01.246525+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:12:01.246525+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T16:25:51.273053+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8878c1b454b6c61a743ae7799ddfa86fcd17edcb2e77f66b4b20ef57968d60af", "fetched_at": "2026-08-28T04:12:01.246525+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/Data-Science-For-Beginners"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:12:01.246525+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:12:01.246525+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T16:25:51.273053+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8878c1b454b6c61a743ae7799ddfa86fcd17edcb2e77f66b4b20ef57968d60af", "fetched_at": "2026-08-28T04:12:01.246525+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/Data-Science-For-Beginners"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T16:25:51.273053+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8878c1b454b6c61a743ae7799ddfa86fcd17edcb2e77f66b4b20ef57968d60af", "fetched_at": "2026-08-28T04:12:01.246525+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/Data-Science-For-Beginners"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T16:25:51.273053+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8878c1b454b6c61a743ae7799ddfa86fcd17edcb2e77f66b4b20ef57968d60af", "fetched_at": "2026-08-28T04:12:01.246525+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/Data-Science-For-Beginners"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T16:25:51.273053+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8878c1b454b6c61a743ae7799ddfa86fcd17edcb2e77f66b4b20ef57968d60af", "fetched_at": "2026-08-28T04:12:01.246525+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/Data-Science-For-Beginners"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 98, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2009, "days_push": 14, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 76, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}