📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Energy Transition Analytics: Evidence to Action, from foundations to a certified capstone project.
Data
• Generation, load, capacity and emissions data and where each is published
• Time resolution, missing intervals and timezone errors that corrupt analysis
• Capacity against energy, and the capacity factor that connects them
Analysis
• Load profiles, duck curves and the duration curve as an analytical device
• Variability, correlation between wind and solar output, and resource complementarity
• Marginal emissions factors against average, and why the distinction matters
Economics
• LCOE and its assumptions, plus the system costs it deliberately omits
• Value-adjusted metrics and the declining value of variable generation at high shares
• Storage economics, arbitrage and the cost of firming
Modelling
• Capacity expansion and dispatch modelling in outline, with PyPSA as a tool
• Scenario design and the sensitivity to assumptions rather than the point estimate
• Grid constraints and curtailment as the binding limits on paper plans
Action
• Indicator selection for a policy or corporate audience
• Visualisation of uncertainty, and forecasts presented without false precision
• India-specific context: renewable targets, open access and grid integration
Earn government-registered certification in Energy Transition Analytics: Evidence to Action
e-Certificate and e-Marksheet issued on successful completion.
