Projects/Record Quality Pipeline
beginner4 milestones · ~5 hours

Record Quality
Pipeline

Turn a dirty customer CSV into validated, logged output: coerce types, quarantine bad rows, emit a JSON quality report — packaged, tested, and logged like production code.

What you'll learn

  • —Coerce and validate messy records
  • —Quarantine defects with reasons
  • —Emit a JSON data-quality report
  • —Test with pytest; log structured counts
  • —Ship it as a packaged stdlib CLI

The 4 milestones

Each milestone is reviewed before you advance.

  1. 01

    Scaffold + fixture landing

    Package layout, dirty-CSV fixture, README skeleton.

  2. 02

    Coerce + validate

    cleaners.py with coerce/validate per the M2/OOP lessons; pytest green.

  3. 03

    Quarantine + quality report

    Bad rows to quarantine.jsonl; report.json counts by defect; logging.

  4. 04

    CLI + findings note

    argparse CLI, demo run, portfolio README.

Reading & references

Quality pipeline brief
Setup Guide · Premium
Quality pipeline starter skeleton
Article · Premium
Fixture generator: make_fixture.py
Article · Premium

Build your portfolio & get certified

Want more projects like this? Join our Data Analyst Work Experience Program to complete 5+ guided industry projects, gain real experience, and earn an internship certificate.

Free Record Quality Pipeline portfolio project — with AI review

Build a real record quality pipeline project for your data analyst portfolio in your own public GitHub repo — free brief, starter template, and milestone guides. When your code is ready, the Free pass gets every milestone reviewed against a fixed rubric (de python quality pipeline walkthrough included) and issues a verifiable certificate on completion.

Is the Record Quality Pipeline project free?

The full project brief, milestone guides, and starter template are free to audit. The AI-powered review pass and verified certificate unlock at Free.

Can I add the Record Quality Pipeline project to my resume and GitHub?

Yes — that is the point. You build in your own public GitHub repo, every milestone is reviewed against a fixed rubric, and the certificate links to the repo employers can inspect. Only list what is visible in your repo.

How long does the Record Quality Pipeline project take?

Most students finish the 4 milestones in 2–4 weekends. Milestones unlock in order, and you can re-submit any milestone that needs work.

Rubric-reviewed · Plagiarism-checked · Verifiable certificate