Learning Analytics Portfolio
Synthetic data · KPI design · reproducible analysis
A public, reproducible example of how I structure learning-activity data, define practical KPIs, analyze engagement and conversion, and translate operational records into decision-support outputs.
The repository uses fully synthetic data and contains no proprietary, employer, client, student, or member information.
What the project demonstrates
- Data cleaning and validation
- KPI and metric design
- Participant and organization-level utilization analysis
- Registration-to-attendance and attendance-to-completion conversion
- Quarterly, topic, and delivery-format segmentation
- Reproducible Python analysis workflows
- Privacy-conscious portfolio development
Results at a glance
| Metric | Synthetic result |
|---|---|
| Activity records | 36 |
| Unique participants | 16 |
| Active organizations | 6 |
| Registration → attendance | 81.2% |
| Attendance → completion | 53.8% |
Activity mix
By quarter: Q1 13 · Q2 8 · Q3 9 · Q4 6
Largest topic signal: AI for Marketing, with 11 activity records in the synthetic sample.
All figures on this page come from the synthetic demonstration dataset—not employer, client, student, or member performance data.
Visual summary
Conversion funnel
Registration → attendance — 81.2%
Attendance → completion — 53.8%
Activity records by topic
AI for Marketing — 11
Data & Analytics — 7
Brand Strategy — 6
Creative Effectiveness — 5
Measurement — 4
Procurement — 3
Visuals summarize the synthetic dataset; the exact values are also provided in text/table form above.