By completing this course, learners will be able to define the fundamentals of project finance, analyze project feasibility, evaluate risks, and construct comprehensive project finance models. The course provides practical insights into feasibility studies, cost estimation, risk management, sensitivity analysis, and financial ratios, enabling learners to apply proven techniques to real-world infrastructure projects.

Project Finance: Analyze, Evaluate & Model

10 reviews
What you'll learn
Define project finance fundamentals and analyze feasibility.
Build models with assumptions, cash flows, IRR, and NPV.
Evaluate risks using sensitivity analysis and financial ratios.
Skills you'll gain
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14 assignments
October 2025
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There are 4 modules in this course
This module introduces the fundamental concepts of project finance, explaining its distinguishing features, structure, and importance. Learners will gain a solid foundation by exploring how project finance differs from corporate finance and why it is vital for large-scale infrastructure development.
What's included
7 videos3 assignments
This module covers the key steps in project implementation, cost estimation, and feasibility studies. Learners will explore manpower, economic, and financial feasibility, along with valuation and purchasing power adjustments that determine project viability.
What's included
10 videos4 assignments
This module introduces learners to risk analysis, break-even evaluation, and advanced financial tools. It emphasizes the role of sensitivity analysis and key financial ratios in assessing project performance and managing risks effectively.
What's included
7 videos3 assignments
This module provides hands-on insights into building and analyzing project finance models. Learners will create assumptions, develop cash flow projections, calculate profitability, and interpret financial ratios to assess project feasibility and long-term viability.
What's included
10 videos4 assignments
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Reviewed on Mar 4, 2026
The pacing is comfortable and well planned, allowing learners to follow the modeling logic without feeling rushed.
Reviewed on Feb 7, 2026
Real-world examples are decent, though adding more detailed case studies or sensitivity analysis scenarios would have made the learning more engaging.
Reviewed on Jan 23, 2026
Well organized with clear examples that build on each other logically. Even the trickier parts of risk analysis became easier to follow.






