# PavelGrigoryevDS/awesome-data-analysis

🚀 500+ curated resources for Data Analysis & Data Science: Python, SQL, Statistics, ML, AI, Visualization, Cheatsheets, Roadmaps, Interview Prep. For beginners and experts.

Repository: https://github.com/PavelGrigoryevDS/awesome-data-analysis
Canonical: https://ross.abutalabs.com/products/awesome-data-analysis
Homepage: https://pavelgrigoryevds.github.io/awesome-data-analysis/
License: CC0-1.0
License Family: permissive
Topics: data-analysis, data-science, pandas, python, sql, statistics, big-data, eda, tutorials, datasets, ai, analytics, awesome-list, dashboard, data-visualization, jupyter-notebook, ml, resources, numpy, business-intelligence
Last push: 2026-08-09T10:44:21+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 96, release rhythm 35, longevity 28
- inputs: {"age_days": 399, "days_push": 24, "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 1874, forks 270 (observed 2026-08-28T04:05:47.240247+00:00)

## What it is
A curated awesome-list of 500+ resources for data analysis and data science, covering Python, SQL, statistics, ML, visualization, dashboards, and career prep. It is maintained as a GitHub repository with a companion web page for comfortable reading.

## Use cases
- find learning resources for data analysis
- get a data science roadmap as a beginner
- prepare for data analyst interviews
- discover pandas and numpy tutorials
- find cheatsheets for SQL and statistics
- locate datasets and practice notebooks
- explore data visualization and BI tools

## When to choose
- you want a broad, curated index of data science learning materials
- you are a beginner looking for roadmaps and structured study paths
- you need interview prep, cheatsheets, or dataset sources in one place

## When to avoid
- you need runnable software rather than a list of links
- you need deep, opinionated tutorials on a single niche topic
- you require guaranteed up-to-date or vetted content for production decisions

## Facets
- artifact type: learning-resource
- maturity: active
- function: data-science, data-visualization, developer-tools
- domain: data-science, tutorials, awesome-lists, analytics, education
- platform: cross-platform
- tags: awesome-list, curated-resources, data-analysis, pandas, sql, statistics, interview-prep, roadmaps, cheatsheets, web-server

## Member repositories
- PavelGrigoryevDS/awesome-data-analysis (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:47.240247+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 2026-08-30T03:14:47.445348+00:00, confidence not recorded.
  - readme: https://github.com/PavelGrigoryevDS/awesome-data-analysis (fetched 2026-08-28T04:05:47.240247+00:00, sha 421ac6135358)
  - homepage: https://pavelgrigoryevds.github.io/awesome-data-analysis/ (fetched 2026-08-29T10:54:01.754823+00:00, sha 7ace58c37e3d)
- Data as of 2026-08-30T08:39:29.467469+00:00.