# Team-Neighborhood/I-want-to-study-Data-Science

데이터 사이언스를 공부하고 싶은 분들을 위한 글

Repository: https://github.com/Team-Neighborhood/I-want-to-study-Data-Science
Canonical: https://ross.abutalabs.com/products/i-want-to-study-data-science
License Family: other
Last push: 2022-03-28T12:19:28+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2974, "days_push": 1619, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1806, forks 476 (observed 2026-08-28T04:05:39.114616+00:00)

## What it is
A Korean-language curated guide and wiki for people who want to study data science, covering career paths (analyst, engineer, scientist) and study resources for Python, machine learning, deep learning, math, and more. It is a documentation-only repository with no code, hosted primarily in its GitHub wiki.

## Use cases
- learn data science from scratch
- find study resources for machine learning and deep learning
- understand differences between data analyst, data engineer, and data scientist roles
- get a beginner roadmap for becoming a data scientist
- find recommended resources for Python, Linux, Git, and linear algebra
- learn how to crawl data and use cloud services for data science

## When to choose
- you are a Korean-speaking beginner exploring a data science career
- you want a curated roadmap of learning materials rather than code
- you need an overview of data-related job roles and required skills

## When to avoid
- you need runnable code, libraries, or tools
- you want up-to-date content (last updated 2022)
- you need English-language materials
- you need a structured course with exercises rather than link lists

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: data-science, machine-learning, tutorials, education
- platform: cross-platform
- tags: study-guide, korean-language, curated-list, wiki, career-guide, deep-learning, python

## Member repositories
- Team-Neighborhood/I-want-to-study-Data-Science (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:39.114616+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:21:28.359688+00:00, confidence not recorded.
  - readme: https://github.com/Team-Neighborhood/I-want-to-study-Data-Science (fetched 2026-08-28T04:05:39.114616+00:00, sha 7effe1561cff)
- Data as of 2026-08-30T08:39:29.467469+00:00.