Energy system analytics training vol. 3
INETTT Training designed to introduce participants to energy data analysis and visualisation for policy.
About this training
This intensive 3-day training provides a comprehensive introduction to energy system analytics. Through interactive sessions and hands-on exercises, participants will develop their practical skills in working with energy system data and interpreting energy models. The programme thereby equips trainees to translate technical insights into evidence-based policy recommendations advancing the energy transition.
The energy system analytics training is organised in close collaboration with the Energy Data and Modelling team at Agora Think Tanks, hosted by our local member in Morocco, IMAL Initiative for Climate and Development and organised by the INETTT Secretariat within its Data Working Group.
- Location: Marrakesh, Morocco
- Time: 21–23 April 2026
- Travel and accommodation covered
- Limited to 15 participants
Participants will engage in:
- Guided sessions on energy system data and analytics, covering best practices for accessing, managing and analysing energy data.
- Practical exercises on data analysis and visualisation, learning how to create clear and compelling policy-relevant narratives from data.
- Interactive learning on energy system modelling, focusing on how to read, interpret, and critically evaluate model results used in policymaking.
- Collaborative discussions and peer exchange, strengthening analytical collaboration and knowledge sharing among INETTT members.
Programme structure:
- Day 1: Introduction to energy system data and analytical foundations.
- Day 2: Data analysis techniques and creating impactful visualisations for policy communication.
- Day 3: Understanding and critically evaluating energy system models and their policy implications.
Who can apply?
This opportunity is open exclusively to early- to mid-career professionals from INETTT partner organisations who work with data or policy analysis in the field of energy transition and have basic experience using Excel.