# kojino/120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

Repository: https://github.com/kojino/120-Data-Science-Interview-Questions
Canonical: https://ross.abutalabs.com/products/120-data-science-interview-questions
License Family: other
Last push: 2024-01-18T06:58:39+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3186, "days_push": 958, "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 3849, forks 1294 (observed 2026-08-28T04:08:24.215363+00:00)

## What it is
A collection of answers to 120 commonly asked data science interview questions, organized by topic such as probability, predictive modeling, and statistical inference. It serves as a study guide for data science job interviews.

## Use cases
- prepare for a data science interview
- study common data science interview questions
- review probability and statistics concepts before an interview
- practice answering predictive modeling questions
- brush up on product metrics and data analysis for interviews

## When to choose
- you are preparing for data science or analytics interviews
- you want concise answers to frequently asked interview questions
- you need a quick refresher on statistics and modeling concepts

## When to avoid
- you need a comprehensive data science textbook or course
- you want hands-on coding exercises or projects
- you need up-to-date, professionally reviewed material

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: data-science, tutorials, education
- platform: -
- tags: interview-preparation, questions-and-answers, statistics, machine-learning-interviews

## Member repositories
- kojino/120-Data-Science-Interview-Questions (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:24.215363+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 2026-08-29T18:25:59.302442+00:00, confidence not recorded.
  - readme: https://github.com/kojino/120-Data-Science-Interview-Questions (fetched 2026-08-28T04:08:24.215363+00:00, sha dbd073af679d)
- Data as of 2026-08-30T08:39:29.467469+00:00.