Data Science From the Ground Up
Begin with what data scientists actually do, learn to recognise the kinds of data you will meet, follow the workflow from question to answer, then get your hands dirty cleaning a messy dataset. Cleaning comes last because it is only obvious once you know what the analysis needs.
CodePLU Goal
Upgrading Human Mental Models
Learn how to think in Workflows
What Is Data Science?
Data science is not just charts and not just coding. Learn what it really is by seeing how it differs from the two jobs sitting either side of it — and why it always ends in a decision.
What Are the Types of Data?
Some data arrives in tidy rows, some arrives with labels but no table, and some arrives as photos and voice notes. Learn to tell the three types apart and what each one costs you to use.
What Are the Steps of the Data Analysis Workflow?
Most beginners start with data and hope a chart shows something. Professionals start with a question. Walk the five steps of a real analysis, from the question to the answer someone acts on.
How Do You Clean Messy Data Before Analysing It?
Real data arrives broken: duplicates, blanks, mismatched formats, and impossible values. Learn what each mess does to your answer and the fix that clears it.