Boost
Boost

Certified in Financial Modeling Using Excel

FNBN-2741

Course Code

5 Days

Duration

6

Upcoming Dates

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Sector Name

Finance, Accounting and Banking

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30 Nov 2026 | 04 Dec 2026
Singapore, Singapore
$4,950
Limited Seats
14 Dec 2026 | 18 Dec 2026
Abu Dhabi, UAE
$4,250
Upcoming
18 Jan 2027 | 22 Jan 2027
Dubai, UAE
$4,250
Upcoming
10 May 2027 | 14 May 2027
Abu Dhabi, UAE
$4,250
Upcoming
11 Oct 2027 | 15 Oct 2027
Dubai, UAE
$4,250
Upcoming
18 Oct 2027 | 22 Oct 2027
Abu Dhabi, UAE
$4,250
Upcoming

Course Introduction

Financial modeling is a critical skill for finance professionals involved in analysis, planning, forecasting, valuation, and decision support. Well-built financial models help organizations understand financial performance, evaluate scenarios, assess risks, and support informed strategic and operational decisions. Excel remains the most widely used tool for building and analyzing financial models due to its flexibility and accessibility.

 

The Financial Modeling Using Excel course is designed for professionals who already have a basic understanding of finance and Excel and want to develop stronger, more structured financial models.

 

Within BOOST, this program focuses on practical modeling techniques that reflect how financial models are built and used in real business environments.

 

The course emphasizes good modeling discipline—clear structure, logical flow, sound assumptions, and transparent calculations—rather than complex formulas alone. Participants will learn how to translate financial concepts into Excel models that are easy to understand, review, and update. Attention is also given to avoiding common modeling errors and improving the reliability of outputs.

 

By the end of the program, participants will be able to build, interpret, and improve financial models that support planning, analysis, and decision-making with confidence.

Course Objectives

  • Master Excel functions for financial modeling.
  • Build dynamic financial statements and projections.
  • Conduct valuation, scenario, and sensitivity analyses.
  • Apply models to real-world business decisions.
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