You will build a real spreadsheet auditing and cleaning tool — step by step, layer by layer. Every line of code explained. No experience needed.
Real output from day one. · Guided comments throughout · Plain-English docs
Each layer builds on the last. Each one gives you a working result you can run and show someone. You never write code that doesn't do something.
Every concept is introduced when you need it — not before.
A working Python project written by you, that you can explain, run, and extend. Something concrete to show on a resume or in an interview.
Missing value detection, duplicate identification, format standardization, data quality scoring — the same work real analysts do every day.
The best way to learn Python is to build something real. This is that something.
You already know what "clean data" means. You've done it in Excel. This project takes that knowledge and translates it into code you write and own.
You've done tutorials. You know the syntax. But building something from scratch — with a real use case and real output — is different. This bridges that gap.
Your job involves cleaning spreadsheets. Imagine automating it. This project builds the tool that does exactly that — in the language employers want to see.
Python 3.8+ and two packages. The repo does the rest.