PROGRAM MODULE · EN / ES · AI2
Data and provenance
Prepare documented synthetic data and validate quality.
MODULE SYLLABUS
Lessons and objectives
Review the sequence before you start. Each link opens the corresponding lesson in the protected student guide; a verified account and active membership are required.
AI2-1 · 4 h
Data and dictionaries
- Build a dictionary and six synthetic tickets whose structure, labels and provenance support repeatable validation.
AI2-2 · 4 h
Quality and missing values
- Detect missing values, duplicates and invalid labels; apply a documented decision without inventing information.
AI2-3 · 4 h
Versions and provenance
- Record provenance, changes and file fingerprints to reconstruct a version without confusing integrity with truth.
PREPARATION
Before you begin
Functional reading, basic arithmetic and file management. Complete an entry diagnostic.
This module follows Problem and evidence. Review the earlier material if you need to strengthen the foundations.
Read the explanations and examples before practicing. Keep your results and limitations in your own file: these pages do not automatically record attendance, progress or grades.
STUDENT MATERIALS
Continue to guided learning
This syllabus is public. Full explanations, exercises, downloads and simulators retain Academy access controls: an active verified account, active membership and the appropriate permissions. Cohort enrollment is not open.