Model Project Cashflows with Confidence

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Model Project Cashflows with Confidence

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·2mo ago
This intermediate course is designed for finance and business professionals who want to master the critical skill of project finance modeling in Excel. You will learn to construct and analyze a complete cash flow waterfall—an essential tool for assessing the financial viability of large-scale projects. The course moves beyond theory, guiding you through the distinct financial lifecycle of a project, from the initial capital-intensive construction phase to the revenue-generating operating period and subsequent debt repayment. Through hands-on learning and instruction grounded in real-world case studies, such as the Channel Tunnel and the Dogger Bank Wind Farm, you will build a robust model from the ground up. You will learn to project cash inflows, prioritize payments to cover operating expenses and debt service, and determine the cash flow available for equity distributions. By the end of this course, you will have the practical Excel toolkit needed to forecast cash balances, prove a project's solvency, and make confident, data-driven investment decisions, preparing you for demanding financial analysis roles.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Why Data Mining Matters (And How It Actually Works)
Learn why data mining matters and how it works to extract valuable insights from large datasets
Medium · Data Science
GridDB TimeSeries and Java Timestamps: The UTC/DST Traps That Return Empty Results
Learn how to avoid UTC/DST traps when working with GridDB TimeSeries and Java timestamps to prevent empty results
Medium · Data Science
Stop Saying Half of 2026 US Datacenter Capacity Is Canceled
Learn to critically evaluate datacenter capacity forecasts and avoid spreading misinformation by verifying sources and analyzing actual data, which is crucial for making informed decisions in the tech industry
Semi Analysis
Tips/Tricks for sports data infrastructure
Learn how to build a reliable sports data infrastructure by following core principles to handle messy and fragmented data
Medium · Data Science
Up next
Power BI Full Course 2026 | Power BI Tutorial | Learn Data Analytics With Power BI | Simplilearn
Simplilearn
Watch →