Energy Course

Energy Data Analytics & AI Applications (3 Days)

• Course Overview: Build data analytics skills with an energy-sector focus, covering AI, machine learning, and predictive modelling.

• Learning Objectives:

  • Clean and analyse energy datasets

  • Use machine learning for forecasting

  • Apply AI to grid and demand planning

  • Communicate insights effectively

• Training Methodology:

  • Coding labs (Python/R optional)

  • Case modelling (load, emissions, prices)

  • Visual storytelling practice

• Organisational Benefits:

  • Improved data use in operations

  • Cost savings via AI-driven decisions

• Personal Benefits:

  • Technical skill boost

  • Stronger data-driven profile

• Target Audience:

  • Energy Analysts

  • Engineers

  • Digital Transformation Teams

• Course Modules:

  • 🔹 Day 1: Energy Data Foundations

  • 🔹 Day 2: Machine Learning & Forecasting

  • 🔹 Day 3: Dashboards, AI & Visualisation

• Customisable Parts: Coding language, focus area (grid, oil & gas, renewables)