About the Course
Modern finance functions demand more than just basic calculation; they require a structured approach to data governance and predictive analysis. This course addresses the common pitfalls of spreadsheet-based reporting, such as broken links, hard-coded errors, and inefficient data structures. You will learn to implement a professional modeling environment that prioritizes transparency and scalability. We focus on the core capabilities required to demonstrate technical excellence in finance, including advanced lookup logic, nested conditional statements, and the deployment of dynamic arrays to handle large datasets without compromising performance. You will be introduced to the Power Pivot data model and the DAX language at a foundational level to understand how to manage multi-table financial data efficiently.
The curriculum is designed to turn scattered accounting knowledge into a cohesive financial system. You will practice building integrated financial statements where the Income Statement, Balance Sheet, and Cash Flow Statement are dynamically linked. We distinguish between conceptual exposure to advanced VBA automation and the hands-on implementation of Power Query for cleaning messy ERP exports. This distinction ensures you spend your time mastering the tools that provide the highest return on effort in a modern finance role. You will learn to use Scenario Manager and Goal Seek to conduct what-if analysis, providing leadership with a range of outcomes based on varying market conditions. This course is built for professionals who must deliver accurate, high-stakes financial reports under tight deadlines while navigating the complexities of modern digital workflows.
Target Audience
This program is specifically curated for finance practitioners who need to elevate their technical spreadsheet capabilities to meet modern corporate standards.
This course is designed for:
- Financial Analysts responsible for corporate budgeting and forecasting
- Management Accountants preparing monthly performance and variance reports
- Investment Analysts building valuation models and DCF templates
- Treasury Specialists managing cash flow projections and liquidity models
- Budget Officers overseeing departmental allocations and expenditure tracking
- Audit Professionals verifying the integrity of financial spreadsheet models
- Finance Managers supervising reporting teams and data workflows
- Commercial Controllers analyzing product profitability and margin trends
- Project Accountants tracking capital expenditure and ROI metrics
- Corporate Strategy Associates developing long-term financial roadmaps
Course Objectives
This course equips you to design, execute, and report financial initiatives that improve accuracy, ensure compliance, and drive strategic outcomes.
By the end of this course, you'll be able to:
- Construct a dynamic three-statement financial model using the FAST modeling standard
- Apply advanced XLOOKUP and INDEX-MATCH logic to consolidate multi-sheet financial data
- Build automated data cleaning workflows using Power Query for ERP data exports
- Calculate Net Present Value and Internal Rate of Return for capital budgeting
- Design interactive executive dashboards using PivotTables and Slicers for real-time reporting
- Execute sensitivity analysis using Data Tables to assess financial risk variables
- Implement data validation and protection controls to ensure financial model integrity
- Synthesize complex financial datasets into concise summary reports for senior leadership
Requirements & Prerequisites
Participants should have a foundational understanding of accounting principles, including the structure of financial statements. Basic familiarity with Microsoft Excel (entering data and simple SUM/AVERAGE formulas) is required. No prior experience with Power Query or financial modeling standards is necessary.
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
Expected ROI
Training Methodology
This is a practical, outcome-driven course designed to turn financial theory into measurable action and credible reporting.
Methodology includes:
- Hands-on calculation of weighted average cost of capital using real datasets
- Scenario simulation requiring decisions on project viability under budget constraints
- Audit of a legacy financial model using a structured integrity checklist
- Stakeholder mapping exercise to align dashboard design with executive reporting needs
- Case study analysis from the manufacturing, retail, and technology sectors
- Group workshop producing a fully linked three-statement financial model deliverable
- Reflection exercise benchmarking current spreadsheet practices against the FAST Standard
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Microsoft Excel for Financial Professionals 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 Excel to analyze financial data faster than your peers.
- Learn to build and use advanced financial models with confidence.
- Transform data into actionable insights with expert Excel techniques.
Career Advancement
- Boost your resume with advanced Excel skills sought by top employers.
- Position yourself for promotions with proven financial analysis expertise.
- Gain a competitive edge in finance with superior spreadsheet mastery.
Expert Delivery
- Learn from industry leaders with years of financial and Excel experience.
- Engage with real-world case studies from finance experts.
- Access ongoing support and resources to keep your skills sharp.
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.
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.
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Microsoft Excel MicrosoftUsed for financial modelling, budgeting, variance analysis, and report production.
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Power Query MicrosoftUsed to import, clean, and reshape accounting and operational data before analysis.
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Power Pivot MicrosoftUsed to build relational data models and support analysis across large financial datasets.
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Power BI MicrosoftUsed to turn Excel-based outputs into interactive dashboards for management reporting.
