Financial Management, Banking, and Insurance Denmark

Financial Analysis, Modeling and Forecasting Training Course

In an environment where capital allocation decisions are increasingly scrutinized, the ability to translate complex data into actionable financial intelligence is a critical differentiator for modern organizations. Financial analysis, modeling, and forecasting are the disciplines of constructing dynamic, mathematical representations of a company’s financial performance to predict future outcomes and evaluate strategic alternatives.

This course bridges the gap between theoretical finance and practitioner-level execution by focusing on the FAST Standard for financial modeling and the integration of Discounted Cash Flow (DCF) and Weighted Average Cost of Capital (WACC) frameworks. You will navigate the transition from static spreadsheets to automated, AI-enhanced forecasting models that account for modern workforce pressures such as real-time data volatility and ESG-driven valuation adjustments. Designed for financial analysts, FP&A managers, investment bankers, and corporate controllers, this training delivers tangible outputs, including fully integrated three-statement models and sensitivity dashboards. By mastering these advanced techniques, you enable your organization to mitigate risk, optimize capital structure, and provide leadership with the evidence-based clarity required for high-stakes investment decisions.

Duration
5 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Intermediate To Advanced
Level
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Live Online Training

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Filling Fast
Starts
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Weekend (4 Wks)
USD 850
Starts
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Mon - Fri (5 Days)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850

Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
5 Days
USD 1,600
Kigali Rwanda
Mon - Fri
5 Days
USD 1,900
Dubai United Arab Emirates (UAE)
Mon - Fri
5 Days
USD 4,100
Addis Ababa Ethiopia
Mon - Fri
5 Days
USD 2,400
Customized Content
Team Training
Flexible Dates

In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (5 Days) USD 1,600 English See dates & reserve →
Kigali, Rwanda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (5 Days) USD 4,100 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Abuja, Nigeria Mon - Fri (5 Days) USD 2,800 English See dates & reserve →
Mombasa, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →
Cape Town, South Africa Mon - Fri (5 Days) USD 3,900 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (5 Days) USD 3,500 English See dates & reserve →
Pretoria, South Africa Mon - Fri (5 Days) USD 3,300 English See dates & reserve →
Kampala, Uganda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Lagos, Nigeria Mon - Fri (5 Days) USD 2,500 English See dates & reserve →
Arusha, Tanzania Mon - Fri (5 Days) USD 2,000 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Naivasha, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →
Nakuru, Kenya Mon - Fri (5 Days) USD 1,600 English See dates & reserve →
Accra, Ghana Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Kisumu, Kenya Mon - Fri (5 Days) USD 1,600 English See dates & reserve →

Live, instructor-led sessions you can join from anywhere — pick the next start date below.

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FAMF-39 Mon - Fri (5 Days) USD 850 Reserve my seat → Reserve team seats →
FAMF-39 Mon - Fri (5 Days) USD 850 Reserve my seat → Reserve team seats →
FAMF-39 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →
FAMF-39 Mon - Fri (5 Days) USD 850 Reserve my seat → Reserve team seats →
FAMF-39 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →
FAMF-39 Mon - Fri (5 Days) USD 850 Reserve my seat → Reserve team seats →

Our instructor comes to your office — same curriculum and accredited certificate, with case studies built around the work your team actually does.

Team Training

Train your entire team together in a familiar environment for better collaboration

Fully Customized

Content tailored to your industry, tools, and specific business challenges

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Choose dates that work best for your team's availability and projects

How It Works
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2
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About the Course

Modern organizations demand more than just historical reporting; they require predictive foresight that can withstand market volatility. This course addresses the core challenge of financial transparency by moving beyond basic spreadsheet functions into the realm of sophisticated structural design. You will develop the capability to build robust models that are flexible, transparent, and audit-ready, ensuring that your financial narratives are backed by rigorous mathematical integrity. Throughout the program, you will practice five core domain capabilities: constructing integrated financial statements, performing multi-scenario stress testing, executing complex valuations, automating data ingestion workflows, and synthesizing technical findings into executive-level dashboards.

The curriculum is designed for professionals who must deliver high-impact results under tight deadlines and regulatory constraints. You will learn to apply the Capital Asset Pricing Model (CAPM) for cost of equity calculations and utilize Monte Carlo simulations to quantify uncertainty in long-term forecasts. This course provides a deep dive into advanced Excel techniques while also introducing you to the conceptual application of machine learning in predictive variance analysis. You will practice hands-on implementation of three-statement integration and be introduced to the strategic frameworks used in M&A and capital restructuring. By the conclusion of the training, you will have moved from being a data processor to a strategic architect of financial value, equipped with a library of templates and frameworks that are immediately deployable in your professional environment.


Target Audience

This program is specifically curated for finance professionals who have mastered basic accounting and spreadsheet functions and are now required to lead complex valuation and forecasting initiatives.

This course is designed for:

  • Financial Planning and Analysis (FP&A) Managers overseeing departmental budgets
  • Investment Banking Associates performing company valuations and deal structuring
  • Corporate Development Managers evaluating potential mergers and acquisitions
  • Senior Financial Analysts responsible for integrated three-statement modeling
  • Treasury Managers optimizing capital structure and liquidity forecasting
  • Strategic Planning Leads aligning financial models with long-term corporate goals
  • Equity Research Analysts producing detailed sector and company reports
  • Commercial Credit Officers assessing borrower risk through sensitivity analysis
  • Project Finance Specialists modeling long-term infrastructure and energy investments
  • Group Controllers managing consolidated financial reporting and variance analysis

Course Objectives

This course equips you to design, execute, and report financial initiatives that improve forecasting accuracy, ensure regulatory compliance, and support strategic growth.

By the end of this course, you'll be able to:

  • Construct a fully integrated three-statement financial model following the FAST Standard
  • Calculate the Weighted Average Cost of Capital (WACC) using the CAPM framework
  • Apply advanced Excel functions to automate data cleaning and model updates
  • Design multi-layered scenario managers to stress-test financial assumptions under volatility
  • Evaluate investment opportunities using Net Present Value (NPV) and Internal Rate of Return
  • Navigate complex debt sculpting and depreciation schedules within a project finance context
  • Implement AI-driven trend analysis to improve the accuracy of revenue forecasting
  • Synthesize technical model outputs into interactive Power BI or Excel dashboards

Requirements & Prerequisites

Participants should have a strong working knowledge of Microsoft Excel (VLOOKUP, Pivot Tables, basic IF statements) and a solid understanding of financial accounting principles (Income Statement, Balance Sheet, Cash Flow). No prior programming experience is required, though familiarity with corporate finance concepts like NPV and IRR is highly recommended.


Local Application and Business Return

How participants can apply the training in local operating conditions, and the return their organisation can plan for.

How participants apply this

In Denmark, participants typically apply this course by building and maintaining three-statement models to support budgeting, forecasting, and capital allocation decisions in corporates, banks, and pension funds. They translate raw ERP and BI data into FAST-compliant models that are easier to audit, update, and share across finance and business units. Many use DCF and WACC analysis to evaluate investments, M&A opportunities, and green transition projects where ESG factors materially affect cash flows and valuations. FP&A teams also integrate AI-enabled forecasting tools with their spreadsheet models to handle real-time data volatility and scenario stress testing aligned with local and EU reporting expectations.

Expected ROI

Within 6–12 months, organizations typically see faster budgeting and forecasting cycles because models are standardized, streamlined, and less error-prone. Decision-makers receive clearer, scenario-based insight into capital structure, liquidity, and project viability, improving the quality and speed of investment approvals. Finance teams can reallocate time from manual reconciliation to higher-value analysis, such as ESG impact assessment and strategic sensitivity analysis. Over time, more robust modeling supports better risk management and more disciplined capital allocation, which can translate into improved profitability and reduced surprises in financial performance.

Training Methodology

This is a practical, outcome-driven course designed to turn financial aspiration into measurable action and credible reporting through hands-on application.

Methodology includes:

  • Hands-on construction of an integrated three-statement model
  • Scenario simulation requiring capital allocation decisions under high-inflation market constraints
  • Audit of a legacy financial model using a professional 20-point integrity checklist
  • Stakeholder reporting exercise focused on presenting valuation findings to a board
  • Case study analysis of M&A transactions in the technology and energy sectors
  • Group workshop building a dynamic WACC calculator with live market data inputs
  • Reflection exercise benchmarking current organizational modeling practices against the FAST Standard

Upcoming Sessions

Next available dates worldwide

Virtual

(Zoom) Training
USD 850
27th Jun-19th Jul 2026

Nairobi

Kenya
USD 1,600
29th Jun-3rd Jul 2026

Kigali

Rwanda
USD 1,850
29th Jun-3rd Jul 2026

Dubai

United Arab Emirates (UAE)
USD 3,900
22nd Jun-26th Jun 2026

Abuja

Nigeria
USD 2,800
29th Jun-3rd Jul 2026

Addis Ababa

Ethiopia
USD 2,500
27th Jul-31st Jul 2026

Zanzibar

Tanzania
USD 2,100
27th Jul-31st Jul 2026

Mombasa

Kenya
USD 1,600
6th Jul-10th Jul 2026

Cape Town

South Africa
USD 3,500
22nd Jun-26th Jun 2026

Johannesburg

South Africa
USD 3,100
22nd Jun-26th Jun 2026

Kampala

Uganda
USD 1,900
22nd Jun-26th Jun 2026

Pretoria

South Africa
USD 3,000
13th Jul-17th Jul 2026

Lagos

Nigeria
USD 2,500
6th Jul-10th Jul 2026

Certification

Recognized credentials that advance your career

Participants who complete the Financial Analysis, Modeling and Forecasting Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

Skills Relevance

  • Master cutting-edge financial analysis techniques that top firms demand.
  • Transform data into predictive insights with advanced modelling skills.
  • Grasp the latest forecasting tools to stay ahead in the finance sector.

Expert Delivery

  • Learn directly from industry leaders with years of practical finance experience.
  • Benefit from personalized feedback on your financial models from experts.
  • Engage in real-world case studies crafted by finance professionals.

Career Advancement

  • Boost your career prospects with a certification in financial analysis and forecasting.
  • Equip yourself with skills that increase your marketability to top-tier employers.
  • Position yourself as a finance expert with advanced, hands-on training.

Tools and platforms relevant to this field

Examples Denmark teams may encounter, and that may be featured in training where they support the confirmed course scope.

5

These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.

  • SimCorp Dimension SimCorp A/S
    Used by Danish and international financial institutions for multi-asset investment management, risk analytics, and cash-flow based portfolio modeling, supporting advanced financial analysis and forecasting workflows.
  • Workday Adaptive Planning Workday, Inc.
    Adopted by finance and FP&A teams in Denmark for driver-based financial modeling, rolling forecasts, and scenario analysis integrated with ERP and HR data.
  • SAP Analytics Cloud SAP SE
    Used by Danish corporates running SAP for integrated planning, predictive forecasting, and financial dashboards that connect to S/4HANA and other data sources.
  • Microsoft Power BI Microsoft Corporation
    Widely deployed for interactive financial reporting, visualization of three-statement models, and publishing self-service dashboards for management in Danish organizations.
  • IBM Planning Analytics with Watson IBM Corporation
    Used for AI-assisted financial planning, multi-dimensional modeling, and scenario analysis that supports complex forecasting requirements in finance teams.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Local market advisory

Course relevance for Denmark

A country-specific view of market pressure, regulatory context, and practical business return behind this training.

  • Market context
  • Regulatory fit
  • Business application

Regulatory context in Denmark

The local regulators, laws, and frameworks shaping this discipline, with the curriculum mapped to what teams need to know.

4

Regulators

  • DFSA Supervises financial institutions, markets, and listed companies in Denmark, setting reporting, risk, and governance expectations that drive the need for robust financial analysis and forecasting in banks, insurers, pension funds, and other supervised entities.
  • Danmarks Nationalbank As Denmark’s central bank, it influences interest rates, liquidity conditions, and financial stability, which are key inputs for WACC, scenario assumptions, and stress testing in financial models.
  • DBA Oversees company registration and aspects of financial reporting and corporate governance, meaning its rules and guidance affect how Danish companies structure their accounts and disclosures used as inputs to financial models.
  • NASDAQ Copenhagen A/S Operates the Danish regulated securities market, where listed issuers must meet disclosure and reporting obligations that rely on high-quality financial analysis and forecasting to support investor communication.

Frameworks the course aligns with

  • 01 Lov om finansiel virksomhed (Financial Business Act) · 2014
  • 02 Årsregnskabsloven (Danish Financial Statements Act) · 2001
  • 03 Lov om værdipapirhandel m.v. (Securities Trading Act) · 2007
  • 04 Lov om kapitalmarkeder (Capital Markets Act) · 2017

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

Who else has attended this training course?

Join global leaders and experts from top-tier organizations who have already benefited from this training. Here are just a few of our past participants:

Designation Organization
Consultant Independent Participant, Uganda
Business Analyst NMB, Tanzania, United Republic of
Finance Manager Suva Mumbe Creations, KENYA
Senior Accountant Tanzania Communication Regulatory Authority (TCRA), Tanzania, United Republic of
Business Analyst DIB Bank Kenya Limited, KENYA
Director General Deposit Insurance Corporation, MALAWI

Your seat is waiting.

Join these industry leaders and take the next step in your career.

Yes. The course focuses on three-statement models designed to be compatible with IFRS-based financial statements, which most larger Danish companies follow, and can be adapted to local reporting formats. The emphasis is on structure (FAST Standard), transparency, and auditability, so models can be reconciled to your statutory and management reporting frameworks.

No. A basic understanding of corporate finance and Excel is helpful, but the course walks through DCF and WACC concepts from foundations to practical implementation in integrated models. Participants with more experience will benefit from advanced topics such as multi-scenario modeling, ESG adjustments, and linking models to live data sources.

Yes. While the core of the course is spreadsheet-based modeling under the FAST Standard, it also addresses how to connect models to data visualization and planning tools such as Power BI or enterprise planning systems. The focus is on structuring models so they can feed and be fed by these platforms reliably.

It is highly relevant, as these institutions rely on cash-flow modeling, scenario analysis, and cost of capital assessments for investment decisions and risk management. The techniques taught—such as DCF, WACC, and sensitivity analysis—are directly applicable to portfolio valuation, liability modeling, and funding strategy.

Yes. The course discusses how ESG considerations can influence cash-flow assumptions, discount rates, and scenario design. Participants learn practical ways to incorporate ESG-driven value drivers into their models, which is increasingly important for Danish organizations subject to EU sustainability reporting and investor expectations.

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The standard duration for Financial Analysis, Modeling and Forecasting Training is 5 Days. The options below are alternative durations with adjusted pricing.

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