Financial Modeling and Valuation
Financial Modeling and Valuation Course Overview
This intensive module is designed to equip participants with the technical skills and practical knowledge required to build robust financial models and perform accurate business valuations. Using Microsoft Excel as the primary tool, learners will build integrated financial statements, perform scenario and sensitivity analysis, and apply valuation methodologies such as Discounted Cash Flow (DCF) and Comparable Company Analysis (CCA).
Emphasis is placed on real-world applications, with hands-on case studies from sectors like agriculture, telecom, and services. The module also introduces best practices in financial modeling to ensure accuracy, consistency, and transparency.
Key Topics Include:
•Principles of financial modeling and Excel setup
•Building integrated 3-statement models
•Forecasting and scenario analysis
•DCF and CCA valuation techniques
•Dynamic dashboards and sensitivity testing
•Financial modeling case studies and industry applications
By the end of the module, participants will be capable of building professional-grade financial models and confidently applying valuation techniques in investment, corporate finance, or consulting settings.
Curriculum
- 1 Section
- 1 Lesson
- 0m Duration
Introduction
1 Lesson
- Introduction
Related Courses
Gifted Analysts Finance Academy
- Understanding the drivers of the Nigerian economy and key data points
- Sourcing for Macroeconomic data
- The four key accounts for Macroeconomic analysis
0m
0
1
1
Private Equity & Project Finance
- Exploring the fundamentals of project finance, distinguishing it from corporate finance and examining its core components, key stakeholders, phases/timelines, conceptual frameworks and financial structuring
- Creating the financial model document - preparing the input sheet, construction sheet, funding sheet, capex, operation, taxation, appraisal, sensitivity, scenario analysis and Dashboard. Building the financial model
- Developing techniques for auditing and reviewing financial models to ensure accuracy and reliability
0m
0
2
1
Data Analysis Using Microsoft Excel
- Functions and formulas for solving real-world problems
- Working with tables and ranges for organized data management. Creating insightful pivot tables and pivot charts for data summarization
- Designing interactive dashboards for dynamic data visualization. Implementing data validation techniques to ensure data integrity
0m
0
1
1