Ross ROSS = Recommend OSS · open-source software intelligence for agents

alexeygrigorev/data-science-interviews resource

Data science interview questions and answers observed · 2026-08-28

github.com/alexeygrigorev/data-science-interviews · homepage · HTML · CC-BY-4.0 (other) observed · 2026-08-28

Health v2 · maintenance only

76/100

  • Activity 98
  • 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 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2375
  • days_rel: n/a
  • days_push: 15
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

10131 stars · 2157 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A community-maintained collection of data science interview questions with answers, organized into theoretical (linear models, trees, neural networks) and technical (SQL, Python, coding) categories. It also includes contributed questions on probability and an awesome list of related interview resources.

Use cases

  • prepare for a data science interview
  • practice machine learning interview questions
  • review SQL and Python interview questions
  • study theory questions about linear models and neural networks
  • find data science interview resources
  • contribute answers to data science interview questions

When to choose

  • you are preparing for data science or ML interviews and want community-vetted Q&A
  • you want a free, openly licensed question bank covering theory, SQL, Python, and probability
  • you want to contribute or improve interview answers via pull requests

When to avoid

  • you need structured courses or interactive practice platforms rather than markdown Q&A lists
  • you need software engineering or system design interview prep outside data science
  • you need guaranteed-accurate expert answers rather than community-contributed ones

Facets

learning-resource · maturity active

documentation data-science machine-learning education tutorials interview-preparation interview-questions community-driven sql python career web-server

2 sources

Member repositories

RepositoryRoleHealth v2
alexeygrigorev/data-science-interviewsmain76

For agents

markdown · JSON · MCP: product_card(name="alexeygrigorev/data-science-interviews")

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