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ICT & Digital Skills

Microsoft Excel Skills for Business Analysis and Reporting Training

This intensive programme equips professionals with advanced Microsoft Excel competencies for business analysis, data modelling, and executive-level reporting. Participants learn to transform raw data into actionable insights using formulas, pivot tables, dashboards, and analytical tools. The course bridges the gap between technical Excel proficiency and strategic business decision-making.

⏱ 5 Days 📡 In-Person 🎯 Intermediate From KES 80,000

About This Course

In today's data-driven business environment, the ability to analyse, interpret, and present information effectively is a critical professional skill. Microsoft Excel remains the world's most widely used business intelligence and analysis tool, yet most professionals use only a fraction of its capabilities. This course is designed to close that gap — moving participants well beyond basic spreadsheet usage into the realm of confident, high-impact business analysis and reporting.

Over five intensive days, delegates will master the Excel features and techniques that matter most in real business contexts: building robust financial models, automating repetitive reporting tasks, designing interactive dashboards, and applying statistical and analytical functions to drive evidence-based decisions. Every module is grounded in practical, workplace-relevant scenarios drawn from finance, operations, HR, sales, and project management.

TrainingComplex has designed this programme for working professionals who need to produce accurate, compelling, and timely reports for management and stakeholders. Whether you are preparing monthly financial summaries, tracking KPIs, consolidating data from multiple sources, or building forecasts, the skills acquired in this course will immediately improve both the quality and efficiency of your work. By the end of the programme, participants will be equipped to work smarter, present data with confidence, and add measurable analytical value to their organisations.

Who Should Attend

Learning Objectives

Course Modules

Module 1: Excel Environment and Best Practices for Business Use

  • Navigating the Excel interface efficiently: ribbons, shortcuts, and customisation
  • Structuring workbooks for professional, multi-user business environments
  • Naming conventions, worksheet organisation, and version control best practices
  • Using Excel tables to make data dynamic and formula-ready
  • Configuring Excel Options and the Quick Access Toolbar to match business workflows
  • Understanding file formats: XLSX, XLSM, XLSB, and CSV and when to use each in a business context

Module 2: Advanced Formulas and Functions for Data Analysis

  • Mastering lookup functions: VLOOKUP, HLOOKUP, INDEX/MATCH, and XLOOKUP
  • Nested IF, IFS, SWITCH, and logical functions for conditional calculations
  • Text functions for data cleaning: TRIM, CONCATENATE, LEFT, RIGHT, MID, and TEXTJOIN
  • Date and time functions for tracking deadlines, durations, and reporting periods
  • Mathematical and statistical functions for business: SUMIFS, COUNTIFS, AVERAGEIFS, and SUMPRODUCT
  • Array formulas and dynamic array functions: FILTER, SORT, UNIQUE, and SEQUENCE for flexible reporting outputs

Module 3: Data Validation, Auditing, and Error Management

  • Setting up data validation rules to restrict and guide data entry
  • Using IFERROR, IFNA, and ISERROR to build resilient, error-free formulas
  • Trace Precedents and Dependents tools for auditing complex formula chains
  • Protecting cells, sheets, and workbooks to prevent unauthorised changes
  • Using the Watch Window and Evaluate Formula tool to step through and monitor calculations in real time
  • Identifying and resolving common formula errors: #REF!, #VALUE!, #NAME?, and circular references

Module 4: Working with Large Datasets and Data Cleaning

  • Importing data from CSV, text files, and external sources into Excel
  • Removing duplicates, standardising formats, and fixing inconsistencies in raw data
  • Using Flash Fill and advanced filtering to extract and restructure data quickly
  • Sorting, grouping, and subtotalling data for structured analysis
  • Using Find and Replace with wildcards to perform bulk corrections across large datasets
  • Converting and normalising data types: text-to-columns, number formats, and date recognition issues

Module 5: Power Query for Data Transformation and Consolidation

  • Introduction to Power Query: connecting to data sources and loading queries
  • Transforming and reshaping data with split columns, pivot, and unpivot operations
  • Merging and appending queries to consolidate data from multiple files or sheets
  • Refreshing queries to automate data updates in recurring reports
  • Applying custom column formulas and conditional columns using Power Query's M language basics
  • Managing query dependencies and documenting transformation steps for auditability and handover

Module 6: PivotTables and PivotCharts for Business Reporting

  • Building PivotTables from structured data: rows, columns, values, and filters
  • Applying calculated fields and items to extend PivotTable analysis
  • Grouping dates and values for period-based and range-based summaries
  • Creating PivotCharts and linking them to slicers and timelines for interactivity
  • Configuring value field settings: sum, count, average, % of total, and running totals for richer reporting
  • Using GETPIVOTDATA to reference PivotTable results in external summary reports and financial layouts

Module 7: Data Visualisation and Dashboard Design

  • Selecting the right chart type for each business data story: bar, line, waterfall, combo
  • Applying conditional formatting with colour scales, data bars, and icon sets
  • Building interactive dashboards using slicers, form controls, and dynamic named ranges
  • Design principles for executive-ready dashboards: clarity, layout, and branding
  • Using camera tool and linked picture objects to assemble modular dashboard layouts without breaking formula links
  • Creating sparklines to embed compact trend indicators directly within summary tables and scorecards

Module 8: Statistical Analysis and Forecasting in Excel

  • Descriptive statistics using AVERAGE, MEDIAN, STDEV, PERCENTILE, and frequency distributions
  • Correlation and regression analysis using the Data Analysis ToolPak
  • Using FORECAST.ETS and trend lines to project future values from historical data
  • Variance analysis and what-if scenarios using Goal Seek and Data Tables
  • Building histogram and Pareto charts to identify distributions and prioritise key business drivers
  • Applying moving averages and exponential smoothing to smooth volatility and improve trend interpretation in business data

Module 9: Financial Modelling and Scenario Analysis

  • Building a structured financial model: income statement, balance sheet linkages, and cash flow
  • Creating dynamic budget-versus-actual comparison reports with variance flags
  • Scenario Manager for modelling best-case, base-case, and worst-case projections
  • Using named ranges and structured references to make models auditable and scalable
  • Building sensitivity tables with two-variable Data Tables to quantify how key drivers affect financial outcomes
  • Incorporating model control switches and assumption dashboards to allow non-technical stakeholders to adjust inputs safely

Module 10: Macros, Automation, and Capstone Project

  • Recording and editing Excel macros to automate repetitive reporting tasks
  • Introduction to VBA: understanding the code behind recorded macros and making simple edits
  • Assigning macros to buttons for one-click report generation and formatting
  • Capstone project: building a complete business reporting workbook from a raw dataset, incorporating formulas, PivotTables, a dashboard, and automated refresh
  • Writing basic VBA loops and conditional logic to handle variable-length datasets dynamically
  • Debugging macros using the VBA Editor's breakpoints, step-through execution, and Immediate Window to identify and fix runtime errors

Requirements & Prerequisites

Participants should have a working knowledge of Microsoft Excel at a basic to intermediate level, including familiarity with entering data, writing simple formulas such as SUM and AVERAGE, and navigating worksheets. Prior experience using Excel in a professional or administrative context is recommended. No programming or data science background is required.

Training Methodology

Organisational Benefits

Where Is Microsoft Excel Skills for Business Analysis and Reporting Training Offered?

This course runs in-person across: Mombasa, Abuja, Dar es Salaam, Kampala, Johannesburg, Accra, Addis Ababa, Kisumu, Naivasha, Pretoria, Arusha, Zanzibar, Nakuru, Cape Town, Nairobi, Dubai, Riyadh, Kigali, Lagos, plus Live Virtual (online) cohorts. Browse live dates for your city below.

Upcoming Schedules

LocationFormatDatesPrice
Mombasa, Kenya In-Person 5 Oct 2026 – 9 Oct 2026 KES 115,000
Abuja, Nigeria In-Person 5 Oct 2026 – 9 Oct 2026 USD 2,800
Dar es Salaam, Tanzania In-Person 12 Oct 2026 – 16 Oct 2026 USD 2,300
Kampala, Uganda In-Person 12 Oct 2026 – 16 Oct 2026 USD 1,900
Johannesburg, South Africa In-Person 19 Oct 2026 – 23 Oct 2026 USD 3,500
Accra, Ghana In-Person 19 Oct 2026 – 23 Oct 2026 USD 3,800
Addis Ababa, Ethiopia In-Person 19 Oct 2026 – 23 Oct 2026 USD 2,400
Kisumu, Kenya In-Person 19 Oct 2026 – 23 Oct 2026 KES 115,000
Naivasha, Kenya In-Person 19 Oct 2026 – 23 Oct 2026 KES 120,000
Live Virtual Online 19 Oct 2026 – 23 Oct 2026 KES 80,000
Pretoria, South Africa In-Person 19 Oct 2026 – 23 Oct 2026 USD 3,300
Arusha, Tanzania In-Person 19 Oct 2026 – 23 Oct 2026 USD 2,100
Live Virtual Online 24 Oct 2026 – 15 Nov 2026 KES 80,000
Zanzibar, Tanzania In-Person 26 Oct 2026 – 30 Oct 2026 USD 2,500
Nakuru, Kenya In-Person 26 Oct 2026 – 30 Oct 2026 KES 120,000

+234 more dates — view live schedule →

Frequently Asked Questions

Do I need to be an advanced Excel user to attend this course?

No — participants should have a basic to intermediate level of Excel experience, such as the ability to write simple formulas and navigate worksheets. The course builds progressively, so foundational concepts are reinforced before advancing to more complex techniques.

Will participants need to bring their own laptops?

Yes, each participant should bring a laptop with Microsoft Excel 2016 or later installed (Office 365 is ideal). Hands-on lab exercises form the core of the programme, so access to a working Excel installation is essential throughout the five days.

Is a certificate awarded upon completion?

Yes, all participants who attend and complete the full programme will receive a Certificate of Completion from TrainingComplex, confirming their proficiency in Microsoft Excel for Business Analysis and Reporting.

Are the Excel files and templates used during the course available to keep?

Absolutely. All training workbooks, datasets, templates, and exercise files used during the course are provided digitally and remain with participants after the programme for continued practice and use in their own work.

Can this course be delivered in-house for a whole team or department?

Yes, TrainingComplex offers customised in-house delivery of this course for organisations wishing to train multiple staff members. The content can be tailored to your industry, specific reporting formats, or internal data systems — contact us to discuss your requirements.

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