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zzsza/Datascience-Interview-Questions resource

Datascience-Interview-Questions for Korean observed · 2026-08-28

github.com/zzsza/Datascience-Interview-Questions · homepage · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3120
  • days_rel: n/a
  • days_push: 2491
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1011 stars · 235 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Korean-language curated collection of data science interview questions covering statistics, machine learning, deep learning, databases, and data engineering. It is a question-only reference document intended for job seekers, interviewers, and learners, with no answers included.

Use cases

  • prepare for a data scientist job interview
  • find interview questions for data analyst candidates
  • review statistics and machine learning concepts before an interview
  • collect question ideas as an interviewer hiring data engineers
  • study data science terminology in Korean

When to choose

  • you are preparing for data science, analyst, or data engineer interviews and prefer Korean-language material
  • you need a broad topic checklist of what interviewers may ask
  • you want question prompts to structure your own study

When to avoid

  • you need worked answers or explanations - the repo contains questions only
  • you need English-language interview prep material
  • you need up-to-date content - the document was last substantially updated in 2019

Facets

learning-resource · maturity maintenance

documentation data-science machine-learning tutorials education cross-platform interview-questions korean-language study-guide data-engineering statistics deep-learning

2 sources

Member repositories

RepositoryRoleHealth v2
zzsza/Datascience-Interview-Questionsmain32

For agents

markdown · JSON · MCP: product_card(name="zzsza/Datascience-Interview-Questions")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem