Nairobi, Kenya

254721214795

Excel for Finance Professionals: Advanced Analytics, Forecasting and Modelling

Excel remains one of the most powerful and widely used tools for financial analysis, budgeting, forecasting, and business decision-making. The Advanced Excel Skills for Budgeting & Financial Model...

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ONSITE OR VIRTUAL

6 upcoming sessions in the next 3 months

Nov 16 - Nov 20
Nov 23 - Nov 27
Dec 14 - Dec 18

+3 more

Programme Overview
Training Description

Who Should Attend

  • Financial Planning & Analysis (FP&A) Professionals
  • Treasury Professionals
  • Investment Analysts
  • Management Accountants
  • Business Analysts
  • Project Finance Professionals
  • Internal Auditors
  • Risk Analysts
  • Procurement and Supply Chain Professionals
  • Operations Managers
  • Entrepreneurs and Business Owners
  • Banking and Financial Services Professionals
Session Objectives
  • Master advanced Excel functions relevant to budgeting and financial modeling (e.g., INDEX, MATCH, OFFSET, INDIRECT).
  • Learn how to build dynamic and flexible financial models using advanced Excel formulas.
  • Learn how to build dynamic and flexible financial models using advanced Excel formulas.
  • Master advanced data manipulation and cleaning techniques using Excel's Text to Columns, Flash Fill, and Remove Duplicates.
  • Learn how to leverage Power Query (Get & Transform Data) to import, clean, and transform data from various sources.
  • Develop skills in using Power Pivot to create and manage data models for complex financial analysis.
  • Master the creation of sophisticated charts and dashboards for effective visualization of financial data.
  • Learn how to use Excel's data validation features to ensure data integrity in financial models.
  • Develop skills in utilizing advanced conditional formatting to highlight key financial insights.
  • Understand how to automate repetitive budgeting and modeling tasks using Excel macros (VBA basics).
  • Learn how to link Excel worksheets and workbooks for integrated financial models.
  • Explore best practices for designing robust, auditable, and user-friendly financial models in Excel.
  • Develop a practical toolkit of advanced Excel skills applicable to real-world budgeting and financial modelling scenarios.
About the Course

Excel remains one of the most powerful and widely used tools for financial analysis, budgeting, forecasting, and business decision-making. The Advanced Excel Skills for Budgeting & Financial Modelling Training Course is designed to equip finance professionals and business users with advanced Excel techniques required to build accurate financial models, automate reporting processes, analyze data, and improve financial planning capabilities.

The course covers advanced Excel functions, financial modelling principles, forecasting techniques, data analysis tools, dashboard creation, automation, and model optimization. Participants will gain practical experience in building integrated financial models, conducting sensitivity analysis, preparing management reports, and improving the efficiency and accuracy of financial planning processes.

Curriculum & Topics

8 Topics | 40 Sessions

  • play Workshop 1.1: Deep dive into lookup and reference functions (INDEX, MATCH, OFFSET, INDIRECT) for dynamic model building for your module.

  • play Workshop 1.2: Utilizing logical functions (IF, AND, OR, IFERROR) for robust error handling and conditional calculations.

  • play Workshop 1.3: Mastering text functions (LEFT, RIGHT, MID, FIND, TEXT) for data extraction and formatting.

  • play Workshop 1.4: Mastering text functions (LEFT, RIGHT, MID, FIND, TEXT) for data extraction and formatting.

  • play Workshop 1.5: Leveraging array formulas for complex calculations across multiple cells.

  • play Workshop 2.1: Creating flexible assumption sections that drive model outputs for your module.

  • play Workshop 2.2: Implementing dynamic range selection using functions like OFFSET and INDIRECT.

  • play Workshop 2.3: Building robust formulas for calculating key financial metrics (e.g., NPV, IRR, ROI).

  • play Workshop 2.4: Developing scenarios and switches within models using IF and CHOOSE functions.

  • play Workshop 2.5: Ensuring model transparency and auditability through clear formula construction.

  • play Workshop 3.1: Utilizing Excel's What-If Analysis tools (Scenario Manager, Goal Seek, Data Tables) for exploring different financial outcomes for your module.

  • play Workshop 3.2: Building dynamic scenario selection mechanisms using dropdown lists and formulas.

  • play Workshop 3.3: Performing sensitivity analysis to assess the impact of changing key assumptions.

  • play Workshop 3.4: Visualizing scenario and sensitivity analysis results using charts.

  • play Workshop 3.5: Applying stress testing techniques to evaluate model resilience.

  • play Workshop 4.1: Mastering Excel's Text to Columns and Flash Fill for efficient data parsing and transformation for your module.

  • play Workshop 4.2: Utilizing Remove Duplicates to ensure data integrity.

  • play Workshop 4.3: Employing advanced filtering and sorting techniques for data exploration.

  • play Workshop 4.4: Leveraging functions like SUBTOTAL and AGGREGATE for dynamic data aggregation.

  • play Workshop 4.5: Validating data using Excel's data validation features to prevent errors.

  • play Workshop 5.1: Importing data from various sources (CSV, TXT, Excel, databases, web) using Power Query for your module.

  • play Workshop 5.2: Cleaning and transforming data using Power Query's intuitive interface.

  • play Workshop 5.3: Combining and appending data from multiple sources.

  • play Workshop 5.4: Automating data import and transformation processes.

  • play Workshop 5.5: Understanding the M language for advanced Power Query transformations.

  • play Workshop 6.1: Creating data models in Power Pivot using relationships between tables for your module.

  • play Workshop 6.2: Understanding and utilizing Data Analysis Expressions (DAX) for advanced calculations.

  • play Workshop 6.3: Building calculated columns and measures in Power Pivot.

  • play Workshop 6.4: Performing complex aggregations and analysis using DAX functions.

  • play Workshop 6.5: Integrating Power Pivot models with PivotTables and PivotCharts for powerful reporting.

  • play Workshop 7.1: Designing impactful and informative charts for visualizing financial data beyond basic chart types for your module.

  • play Workshop 7.2: Utilizing combo charts, scatter charts, and other advanced visualizations.

  • play Workshop 7.3: Creating dynamic charts that respond to data changes and scenario selections.

  • play Workshop 7.4: Building interactive financial dashboards using linked charts and slicers.

  • play Workshop 7.5: Applying best practices for data visualization in financial communication.

  • play Workshop 8.1: Understanding the fundamentals of Visual Basic for Applications (VBA) for automating tasks for your module.

  • play Workshop 8.2: Recording and running simple macros to automate repetitive actions.

  • play Workshop 8.3: Editing and customizing recorded macros using the VBA editor.

  • play Workshop 8.4: Understanding basic VBA syntax and programming concepts (variables, loops, conditions).

  • play Workshop 8.5: Creating simple user-defined functions (UDFs) to extend Excel's functionality

General Notes

  • This course will be delivered by our experts and professionals in data analysis with vast experience. The workshop will be highly interactive  
  • Training manuals and additional reference materials are provided to the participants.
  • Upon successful completion of this course, participants will be issued with a certificate.
  • The training will be conducted by PB Institute of Research and Technology
  • The training fee covers tuition fees, training materials, lunch and training venue. Accommodation and airport transfer are arranged for our participants upon request.
  • Payment should be sent to our bank account before the start of training and proof of payment sent to: info@pbirt.co.ke 
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$ 1,500


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This Programme Includes

Certificate of Completion

Training manuals

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Additional reference materials

Course Highlights
  • icon 5 Days Intensive Training

  • icon 8 Core Learning Topics

  • icon 40 Professional Sessions

  • icon Unknown Expert-led Delivery

FAQs

Frequently Asked Questions

Explore detailed answers to the most common questions about our platform and services.

Can organizations register a group of employees?

Yes. We specialize in corporate capacity building. Corporate sponsorships and group registrations can be coordinated directly through our admissions team. We also offer customized, in-house versions of our courses if you have a team of five or more participants.

Registering is simple. Browse our training catalog, select your desired course, and click the "Book to Register" button. Fill out the brief registration form with your details, and a training coordinator will contact you within 24 hours to provide the admission letter and payment details.

While the majority of our intensive professional programs are structured for high-engagement, on-site delivery, we offer select courses in a virtual or hybrid format. If your organization requires online delivery for a specific module, please indicate this during your booking inquiry.

If you are unable to attend, you must notify us in writing at least 7 days before the course start date. You may choose to nominate a qualified substitute colleague at no additional cost or defer your enrolment to the next scheduled cohort for that program.

Our curriculum is explicitly designed around actionable, real-world case studies and frameworks (such as IPSAS, GFS, and climate-smart agriculture models). Rather than relying purely on academic lectures, our programs utilize quantitative tools, interactive exercises, and strategic analytics to ensure immediate workplace application.

Payments can be made via bank transfer or bank draft payable to PB Institute of Research and Technology. For corporate-sponsored participants, a formal undertaking/Local Purchase Order (LPO) from the employer is required to secure a slot before the training commencement date.