# andresvourakis/data-scientist-handbook

Curated Data Science resources (Free & Paid) to help aspiring and experienced data scientists learn, grow, and advance their careers.

Repository: https://github.com/andresvourakis/data-scientist-handbook
Canonical: https://ross.abutalabs.com/products/data-scientist-handbook
License Family: other
Topics: analytics, data-analysis, data-science, data-scientist, machine-learning, career-guide, data-scientist-interview, python, sql, data-scientist-resources
Last push: 2025-12-15T08:55:47+00:00

## Health v2 (maintenance only)
Score: 49/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 57, release rhythm 35, longevity 57
- inputs: {"age_days": 800, "days_push": 261, "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 1444, forks 149 (observed 2026-08-28T04:04:44.926386+00:00)

## What it is
A curated handbook of free and paid data science learning resources, including YouTube channels, blogs, books, podcasts, and communities. It also covers career guidance such as technical interview prep, portfolio building, and resume crafting for aspiring and experienced data scientists.

## Use cases
- find resources to learn data science from scratch
- prepare for a data scientist technical interview
- build a data science portfolio
- find data science youtube channels and podcasts
- get advice on breaking into the data science job market
- find communities and conferences for data scientists

## When to choose
- you want a curated, opinionated list of data science learning materials
- you are a career switcher looking for guidance on entering the field
- you want free and paid options clearly marked in one place

## When to avoid
- you need interactive courses or a structured curriculum rather than links
- you are looking for software or tools rather than learning resources
- you need deep technical documentation on a specific library

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: data-science, machine-learning, tutorials, education, awesome-lists
- platform: -
- tags: curated-list, career-guide, interview-prep, free-resources, handbook, web-server

## Member repositories
- andresvourakis/data-scientist-handbook (main) score 49

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:44.926386+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 2026-08-30T04:36:17.185252+00:00, confidence not recorded.
  - readme: https://github.com/andresvourakis/data-scientist-handbook (fetched 2026-08-28T04:04:44.926386+00:00, sha 53f8e6ead0fe)
- Data as of 2026-08-30T08:39:29.467469+00:00.