Module 2

Understand the Data-Generating Process

Learners can inspect a tabular dataset before modelling and explain what the rows, labels, features, timing, missing values, proxies, and leakage risks mean.

Executable courseRead the lesson pages, run the browser practice notebook, and keep the downloadable fallback pack if you want a local copy.

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Module sequence

Data Is a Record of a ProcessUnit 1 · 20-25 minutes
Rows, Features, Labels, and TimingUnit 2 · 25-30 minutes
Data Types and Column RolesUnit 3 · 25-30 minutes
Sampling, Missingness, and ImbalanceUnit 4 · 25-35 minutes
Proxies and Measurement ErrorUnit 5 · 25-30 minutes
pandas Summaries and PlotsUnit 6 · 30-40 minutes
Early Leakage SignalsUnit 7 · 25-35 minutes
Project Step: Create a Data Audit NoteUnit 8 · 35-45 minutes
Activity: Create a Data AuditPractice activity · 40-55 minutes
Module 2 Assessment: Data Audit CheckModule check · 25-35 minutes