Results are published for twenty-eight participants across the foundation and applied tracks, with the certificate numbers issued.
The Training department has published the results of cohort five of Energy Data Analytics with Python, delivered online through the academy platform over six weeks.
The cohort was split into two tracks: a foundation track for participants with no prior coding experience, and an applied track that builds demand forecasting models on real operational data. Assessment combined a final project weighted at seventy per cent with weekly assignments weighted at thirty per cent.
Twenty-eight of the thirty-two registered participants completed the course. Digital certificates are issued within five working days and can be checked on the verification page using the certificate number.
Requests to review a mark are accepted for seven days from the date of publication through the academy's official email; requests after that period are not considered.
Results sheet
| Participant | Programme | Grade | Certificate no. |
|---|---|---|---|
| Saja Mohammed Al-Taie | Applied track | Distinction | IENA-2026-05731 |
| Karrar Munir Al-Bayati | Applied track | Distinction | IENA-2026-05732 |
| Yousif Najm Al-Janabi | Foundation track | Very good | IENA-2026-05733 |
| Israa Waleed Al-Hasnawi | Foundation track | Very good | IENA-2026-05734 |
| Hassan Abdulameer Al-Mousawi | Applied track | Good | IENA-2026-05735 |
| Duaa Salah Al-Saadi | Foundation track | Good | IENA-2026-05736 |
