# tirthajyoti/Data-science-best-resources

Carefully curated resource links for data science in one place

Repository: https://github.com/tirthajyoti/Data-science-best-resources
Canonical: https://ross.abutalabs.com/products/data-science-best-resources
License: MIT
License Family: permissive
Topics: data-science, statistics, machine-learning, deep-learning, neural-network, python, scikit-learn, analytics, aws, data-wrangling, visualization, artificial-intelligence, r, sql, database, api, reinforcement-learning, online-course, cheatsheet, linux
Last push: 2024-08-17T07:00:25+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2806, "days_push": 746, "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 3221, forks 1005 (observed 2026-08-28T04:07:49.746552+00:00)

## What it is
A curated collection of links to data science resources covering software, platforms, languages, techniques, and online courses. It is a reference list (awesome-list style) rather than executable software.

## Use cases
- find learning resources for data science
- discover machine learning courses and tutorials
- look up statistics and deep learning reading material
- find data visualization and analytics references
- get started with python and R for data science
- find AWS and cloud resources for data work

## When to choose
- you want a single curated index of data science learning material
- you are a beginner looking for courses, articles, and cheatsheets
- you want quick pointers across AI, ML, statistics, and cloud topics

## When to avoid
- you need runnable code, libraries, or tools rather than links
- you need up-to-date or deeply vetted content, as link lists can go stale
- you need structured datasets or interactive learning platforms

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-science, machine-learning, deep-learning, data-visualization, nlp
- domain: data-science, machine-learning, artificial-intelligence, tutorials, awesome-lists, education
- platform: cross-platform
- tags: curated-links, awesome-list, online-courses, cheatsheets, statistics, python, r, sql, aws

## Member repositories
- tirthajyoti/Data-science-best-resources (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:49.746552+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 2026-08-29T18:44:20.596732+00:00, confidence not recorded.
  - readme: https://github.com/tirthajyoti/Data-science-best-resources (fetched 2026-08-28T04:07:49.746552+00:00, sha 62195adf4bba)
- Data as of 2026-08-30T08:39:29.467469+00:00.