Advanced Excel, Power BI and Financial Modeling for Decision Support Course

Introduction

In today’s data-driven business environment, organizations rely heavily on advanced analytical tools to interpret financial data, build models, and support strategic decision-making. Advanced Excel, Power BI, and financial modeling skills have become essential competencies for finance professionals, analysts, managers, and decision-makers who need accurate, timely, and actionable insights. This course provides participants with practical expertise in building dynamic models, interactive dashboards, and analytical reports that support evidence-based decisions.

The course focuses on transforming raw financial and operational data into structured models, visual dashboards, and meaningful insights using Excel and Power BI. Participants will learn how to apply advanced Excel functions, formulas, pivot tables, Power Query, and Power Pivot to handle complex financial datasets. The training also introduces Power BI as a powerful business intelligence tool for creating interactive dashboards and real-time reporting systems that enhance decision-making efficiency.

Participants will develop strong competencies in financial modeling techniques used for budgeting, forecasting, valuation, scenario analysis, and performance evaluation. The course explores how financial models are used to simulate business outcomes, assess risks, evaluate investment opportunities, and support strategic planning. Through hands-on exercises and real-world case studies, learners will gain practical experience in building robust and flexible financial models that support organizational goals.

The training also emphasizes the integration of Excel and Power BI for seamless data analysis and visualization. Participants will learn how to connect data sources, clean and transform datasets, and build automated reporting systems that reduce manual effort and improve accuracy. The course highlights how modern organizations use these tools to enhance financial transparency, operational efficiency, and executive-level reporting.

In addition, the course addresses emerging trends in financial analytics, including automation, artificial intelligence, cloud-based analytics, predictive modeling, and self-service business intelligence. Participants will understand how digital transformation is reshaping financial decision support systems and how professionals can stay competitive by mastering advanced analytical tools and techniques. The training prepares learners to respond effectively to evolving business and financial environments.

By the end of the course, participants will be able to design advanced Excel models, build interactive Power BI dashboards, and apply financial modeling techniques to support strategic decision-making. They will gain the ability to analyze complex financial data, generate insights, improve reporting processes, and support management decisions with confidence. The course is highly practical and designed to enhance analytical capability, productivity, and organizational performance.

Who Should Attend

• Finance Managers and Officers
• Financial Analysts and Advisors
• Accountants and Auditors
• Budgeting and Planning Officers
• Investment Analysts
• Business Intelligence Analysts
• Data Analysts and Statisticians
• Risk Management Professionals
• Banking and Financial Services Staff
• Project Managers and Coordinators
• Monitoring and Evaluation Specialists
• Corporate Strategy Officers
• Procurement and Supply Chain Analysts
• ICT and Data Systems Professionals
• Senior Managers and Executives

Duration

10 Days

Course Objectives

• Develop participants’ mastery of advanced Excel functions, formulas, and tools for financial analysis, modeling, and reporting purposes.
• Equip participants with practical skills for building dynamic financial models used for budgeting, forecasting, valuation, and scenario analysis.
• Strengthen participants’ ability to use Power BI for designing interactive dashboards, reports, and real-time business intelligence solutions.
• Enhance participants’ understanding of financial data structuring, cleaning, transformation, and integration techniques using Excel and Power BI tools.
• Build competency in creating automated financial reporting systems that improve efficiency, accuracy, and decision-making speed.
• Enable participants to analyze complex financial data sets and extract actionable insights for strategic planning and performance evaluation.
• Improve participants’ ability to design key performance indicators (KPIs) and financial dashboards that support executive decision-making.
• Equip learners with skills to connect multiple data sources and build integrated financial reporting systems across platforms.
• Strengthen participants’ understanding of financial modeling assumptions, sensitivity analysis, and risk evaluation techniques.
• Develop participants’ capacity to use visualization techniques for presenting financial insights clearly and effectively to stakeholders.
• Enhance participants’ ability to apply predictive analytics and forecasting techniques for financial planning and decision support.
• Enable participants to support organizational decision-making through data-driven financial analysis, modeling, and reporting systems.

Comprehensive Course Outline

Module 1: Introduction to Advanced Excel, Power BI and Financial Modeling

• Role of Excel and Power BI in financial decision support
• Overview of financial modeling concepts and applications
• Importance of data-driven decision-making in organizations
• Introduction to business intelligence tools and systems

Module 2: Advanced Excel Functions and Formulas

• Logical, financial, and statistical Excel functions
• Lookup functions and advanced formula techniques
• Error handling and formula auditing tools
• Structuring complex spreadsheets for analysis

Module 3: Data Management and Preparation in Excel

• Data cleaning and transformation techniques
• Power Query for data extraction and manipulation
• Data validation and consistency checks
• Structuring datasets for financial analysis

Module 4: Pivot Tables and Pivot Charts

• Creating and managing pivot tables effectively
• Summarizing large financial datasets
• Designing pivot charts for visualization
• Advanced pivot analysis techniques

Module 5: Financial Modeling Fundamentals

• Principles of financial model design and structure
• Building flexible and scalable financial models
• Assumptions, drivers, and model logic development
• Model documentation and best practices

Module 6: Budgeting and Forecasting Models

• Developing budgeting frameworks and templates
• Forecasting techniques and financial projections
• Variance analysis and performance tracking
• Scenario planning and sensitivity analysis

Module 7: Valuation and Investment Modeling

• Discounted cash flow (DCF) modeling techniques
• Company valuation methods and applications
• Investment appraisal and capital budgeting
• Risk-return analysis in financial decisions

Module 8: Introduction to Power BI

• Power BI architecture and components overview
• Connecting data sources in Power BI
• Data modeling and relationships creation
• Introduction to Power BI interface and tools

Module 9: Power BI Data Transformation and Modeling

• Data cleaning and transformation in Power BI
• Creating relationships and data models
• DAX formulas for financial calculations
• Optimizing data models for performance

Module 10: Power BI Dashboard Design

• Designing interactive financial dashboards
• Selecting visual elements and layouts
• KPI tracking and performance dashboards
• Storytelling with financial data visualization

Module 11: Financial Reporting Automation

• Automating financial reports using Excel and Power BI
• Scheduled reporting and data refresh systems
• Reducing manual reporting errors and inefficiencies
• Integrating Excel models with Power BI dashboards

Module 12: Data Visualization Techniques

• Charts, graphs, and visual analytics principles
• Effective visualization for financial insights
• Dashboard customization and interactivity
• Best practices in financial data presentation

Module 13: Predictive Analytics and Forecasting

• Forecasting techniques in Excel and Power BI
• Trend analysis and predictive modeling
• Regression analysis for financial forecasting
• Scenario simulation and planning tools

Module 14: Financial Performance Analysis

• Financial ratio analysis and interpretation
• KPI development and tracking systems
• Performance measurement frameworks
• Strategic financial analysis techniques

Module 15: Risk Analysis and Decision Support

• Financial risk modeling techniques
• Sensitivity and scenario risk analysis
• Decision-support systems in finance
• Evaluating uncertainty in financial models

Module 16: Case Studies and Practical Applications

• Real-world financial modeling case studies
• Power BI dashboard development exercises
• Excel-based financial analysis simulations
• Group projects and decision-support presentations

Training Approach

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

Certification

Upon successful completion of the training, participants will be awarded a certificate of completion by Steady Development Center.

Training Venue

The training will be held online. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, tutorials and all required training manuals. Any other personal expenses are catered by the participant.
For registration and further enquiries, contact us on:

• Tel: +254 701 180 097
• Email: training@steadytrainingcenter.com

Tailor-Made Option

This course can be customized to suit the specific needs of your organization and be delivered on-line to any convenient location.

Terms Of Payment

Upon agreement by both parties’ payment should be made to Steady Development Center’s official account at least 3 working days before training begins to facilitate adequate preparation.

Our Upcoming Training Schedule