# rbhatia46/Data-Science-Interview-Resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

Repository: https://github.com/rbhatia46/Data-Science-Interview-Resources
Canonical: https://ross.abutalabs.com/products/data-science-interview-resources
License: MIT
License Family: permissive
Topics: data-science-interview, data-science, machine-learning-interview, machine-learning, learning-resources, interview-resources, interview-questions, artificial-intelligence
Last push: 2024-08-07T14:03:16+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2841, "days_push": 756, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3452, forks 764 (observed 2026-08-28T04:08:05.323236+00:00)

## What it is
A curated list of resources for preparing for Data Science and Machine Learning interviews, covering fundamentals like SQL, Python, statistics, and ML topics. It is a documentation-style repository of links and advice, updated frequently.

## Use cases
- prepare for a data science interview
- find machine learning interview questions
- review data science fundamentals before an interview
- get resources for a data science job search
- study statistics and SQL for interviews
- find curated ML learning resources

## When to choose
- you are preparing for data science or ML interviews and want a curated starting point
- you want a single list of verified learning resources
- you need guidance on interview screening and fundamentals

## When to avoid
- you need runnable code, libraries, or tools
- you want an exhaustive or fully structured curriculum
- you need interactive practice or mock interview platforms

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: data-science, machine-learning, artificial-intelligence, tutorials
- platform: cross-platform
- tags: interview-preparation, curated-list, awesome-list, career, study-guide

## Member repositories
- rbhatia46/Data-Science-Interview-Resources (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:05.323236+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 2026-08-29T18:37:33.766164+00:00, confidence not recorded.
  - readme: https://github.com/rbhatia46/Data-Science-Interview-Resources (fetched 2026-08-28T04:08:05.323236+00:00, sha 368cf9a62c40)
- Data as of 2026-08-30T08:39:29.467469+00:00.