# mGalarnyk/datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

Repository: https://github.com/mGalarnyk/datasciencecoursera
Canonical: https://ross.abutalabs.com/products/datasciencecoursera
Homepage: https://medium.com/@GalarnykMichael/blogging-through-the-data-science-specialization-john-hopkins-coursera-2ea63fb99ab5#.ckgc10iif
Language: HTML
License Family: other
Topics: jhu-coursera, data-science, john-hopkins-coursera, r, stanford, python
Last push: 2023-03-08T05:23:11+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": 3536, "days_push": 1274, "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 2257, forks 2083 (observed 2026-08-28T04:06:31.439582+00:00)

## What it is
A repository aggregating coursework, notes, and blog reviews for the Johns Hopkins Data Science Specialization on Coursera. It collects assignments across ten courses covering R programming, data cleaning, exploratory analysis, statistical inference, and machine learning.

## Use cases
- find solutions and notes for Johns Hopkins data science Coursera courses
- learn R programming through the data science specialization
- review coursework for getting and cleaning data
- study exploratory data analysis examples in R
- prepare for statistical inference and regression models courses
- read blog reviews of each data science specialization course

## When to choose
- you are enrolled in or considering the JHU Data Science Specialization on Coursera
- you want worked examples and reviews of R-based data science coursework
- you want a single aggregated reference for all ten specialization courses

## When to avoid
- you need production data science tooling or libraries
- you want current, actively updated course material
- you are learning Python-based data science rather than R

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-science, developer-tools
- domain: data-science, education, tutorials
- platform: python, cli
- tags: coursera, john-hopkins, r, coursework, blog, specialization

## Member repositories
- mGalarnyk/datasciencecoursera (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:31.439582+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 2026-08-30T02:43:40.046302+00:00, confidence not recorded.
  - readme: https://github.com/mGalarnyk/datasciencecoursera (fetched 2026-08-28T04:06:31.439582+00:00, sha 86c40eb941bc)
  - homepage: https://medium.com/@GalarnykMichael/blogging-through-the-data-science-specialization-john-hopkins-coursera-2ea63fb99ab5#.ckgc10iif (fetched 2026-08-29T10:23:27.920265+00:00, sha e8b86d395725)
- Data as of 2026-08-30T08:39:29.467469+00:00.