# datawithdanny/sql-masterclass

Repository: https://github.com/datawithdanny/sql-masterclass
Canonical: https://ross.abutalabs.com/products/sql-masterclass
License Family: other
Last push: 2023-02-22T08:57:09+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": 1839, "days_push": 1288, "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 2334, forks 484 (observed 2026-08-28T04:06:37.987062+00:00)

## What it is
A free GitHub-based SQL Masterclass course by Danny Ma, originally delivered at the ODSC Asia Pacific 2021 conference. It contains step-by-step tutorials, slides, and Docker-based SQLPad environments for hands-on SQL practice.

## Use cases
- learn sql from scratch
- practice sql queries with sample data
- free sql course for beginners
- set up a local sql practice environment with docker
- prepare for data analyst interviews
- learn sql joins and aggregations

## When to choose
- you want a free, self-paced introduction to SQL
- you prefer hands-on practice with a ready-made Docker environment
- you want course material with worked examples and outputs included

## When to avoid
- you need advanced or up-to-date SQL topics beyond the 2021 curriculum
- you want an interactive hosted platform rather than static markdown tutorials
- you need a maintained course with active support

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: database, developer-tools
- domain: databases, education, tutorials, data-science
- platform: cross-platform
- tags: sql, sql-tutorial, free-course, postgres, sqlpad, data-analytics, docker, web-server

## Member repositories
- datawithdanny/sql-masterclass (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:37.987062+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 2026-08-30T02:37:45.524882+00:00, confidence not recorded.
  - readme: https://github.com/datawithdanny/sql-masterclass (fetched 2026-08-28T04:06:37.987062+00:00, sha 5f2140dad80c)
- Data as of 2026-08-30T08:39:29.467469+00:00.