Excel Dashboard Development Training Course

Duration 5 days 10 modules · 33 contact hours
Level Intermediate Certificate on completion
Who attends Business Analysts, Management Information Analysts and others
Fee from USD 1,100 KSh 95,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-BI-171

Before you join: Participants should be comfortable with everyday Excel tasks, including worksheets, cell references, basic formulas, sorting, filtering and simple charts.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Many management reports still depend on manually updated worksheets, inconsistent measures and slides rebuilt each reporting cycle. An effective Excel dashboard reduces this effort by presenting trusted key performance indicators, trends, exceptions and drivers in a form that supports a specific decision. Building one requires more than chart selection: analysts must define the question, prepare source data, construct a reliable model, choose suitable visuals and test whether users can interpret the result correctly.

This five-day Excel Dashboard Development Training Course covers the full dashboard development process using Microsoft Excel. Participants define dashboard requirements through decision inventories, KPI dictionaries and stakeholder needs; prepare data with Excel Tables and Power Query; build calculation layers with formulas, PivotTables, Power Pivot and DAX measures; and create interactive reports using charts, slicers, timelines and dynamic controls. The course addresses executive, operational and financial dashboards, including target-versus-actual reporting, variance analysis, trend monitoring and exception highlighting.

Instructor-led sessions combine concise technical briefings with guided case work, group critique and structured build activities. Participants work through realistic reporting situations such as branch performance, programme delivery, sales pipeline and budget monitoring. They apply a dashboard quality checklist covering data integrity, visual clarity, refreshability, accessibility and distribution controls. Each participant leaves with a reusable Excel dashboard blueprint, KPI dictionary, dashboard wireframe and quality assurance checklist, alongside a certificate of completion.

The course suits analysts and reporting professionals who already use Excel and need to produce decision-ready dashboards rather than static spreadsheets. It is appropriate for teams in banks, government agencies, NGOs, multinational firms and corporate functions where reporting data is spread across operational systems, finance files and recurring Excel extracts.

What you will be able to do

  • Define dashboard requirements using decision inventories, audience personas and acceptance criteria
  • Document KPI definitions in a governed metric dictionary with formulas and ownership
  • Prepare reporting data using Excel Tables, Power Query transformations and validation rules
  • Build scalable dashboard calculations with structured references, PivotTables and DAX measures
  • Select charts and visual encodings using established dashboard design principles
  • Create interactive Excel dashboards with slicers, timelines, dynamic ranges and drill paths
  • Test dashboard accuracy, usability, refresh processes and distribution controls
  • Produce a reusable dashboard blueprint for a defined business reporting need

Benefits of attending

For you

  • Replace manually rebuilt reporting packs with refreshable Excel dashboard designs
  • Present KPI trends, variances and exceptions with greater analytical clarity
  • Apply Power Query and PivotTable methods to recurring reporting datasets
  • Build a portfolio-quality dashboard blueprint for a current work requirement
  • Improve credibility when challenging unclear metrics and misleading visualisations

For your organisation

  • Shorten recurring management-report production through repeatable refresh processes
  • Improve KPI consistency with documented formulas, owners and reporting frequencies
  • Reduce reporting errors through defined data checks and dashboard testing
  • Give managers faster visibility of performance exceptions and underlying drivers
  • Establish reusable Excel dashboard standards across reporting teams

Course modules

10 modules over 5 days

Participants can define a dashboard brief that connects reporting content to management decisions.

  • Dashboard decisions, audiences and success measures defined through stakeholder interviews
  • Decision inventory separating strategic, tactical and operational management questions
  • KPI definitions documented with owner, formula, frequency, target and tolerance
  • Metric trees linking outcome measures to operational performance drivers
  • SMART dashboard requirements translated into measurable user stories
  • Audience personas distinguishing executive, manager and analyst information needs
  • Wireframe annotations specifying visual purpose, filters, drill paths and refresh
  • Acceptance criteria aligned to reporting decisions and data availability

Participants can assess source data and prepare a consistent reporting dataset for dashboard use.

  • Source-system inventory documenting fields, grain, refresh timing and data owners
  • Data grain assessed before combining transaction, summary and target datasets
  • Excel Tables structured for expandable ranges, formulas and controlled references
  • Power Query imports configured from workbooks, CSV files and folders
  • Applied Steps used to filter, split, merge and append source records
  • Data types, null values and duplicate records checked systematically
  • Lookup tables created for categories, targets, calendar periods and mappings
  • Validation rules reconciling row counts, totals and source extracts

Participants can build auditable calculation layers that support dashboard measures and controls.

  • Three-layer workbook architecture separating raw data, calculations and presentation
  • Structured references used to create readable, expandable Excel Table formulas
  • XLOOKUP, SUMIFS and COUNTIFS applied to controlled metric calculations
  • Date intelligence built with EOMONTH, YEAR, MONTH and WORKDAY functions
  • Dynamic arrays generated using FILTER, UNIQUE, SORT and SEQUENCE functions
  • IFERROR and data-quality flags used without masking source-data issues
  • Named ranges applied selectively for parameters, controls and chart series
  • Calculation checks comparing dashboard measures with reconciled source totals

Participants can create scalable summary models using PivotTables, relationships and core DAX measures.

  • PivotTable field layouts matched to management questions and reporting grain
  • PivotCharts linked to PivotTables for controlled visual summarisation
  • Data Model relationships configured using unique keys and matching dimensions
  • Star schema roles assigned to fact tables and dimension tables
  • DAX measures created with SUM, CALCULATE, DIVIDE and DISTINCTCOUNT
  • Calendar tables used for month, quarter, year and period comparisons
  • Actual-versus-target variances expressed as absolute and percentage measures
  • Measure naming conventions distinguishing base metrics, ratios and comparisons

Participants can design dashboard layouts that direct attention to the most important evidence.

  • Information hierarchy arranged around priorities, exceptions and supporting detail
  • F-pattern scanning considered when placing titles, KPIs and primary visuals
  • Gestalt principles applied to grouping, alignment, proximity and visual similarity
  • Preattentive attributes used sparingly for status, outliers and changes
  • Colour palettes selected for meaning, contrast and colour-vision accessibility
  • Data-ink ratio improved by removing decoration, borders and redundant labels
  • Consistent number formats applied to currency, percentages, dates and units
  • Dashboard wireframes reviewed against decision tasks and available screen space

Participants can select and construct Excel visuals that accurately communicate patterns and comparisons.

  • Bar charts used for ranked comparisons across discrete categories
  • Line charts configured for time-series trends, seasonality and forecast movement
  • Variance charts combining actual, target and prior-period comparisons
  • Waterfall charts explaining movement between opening and closing values
  • Scatter plots examining relationships, clusters and performance outliers
  • Small multiples comparing repeated patterns without overloaded chart areas
  • Reference lines added for targets, thresholds, averages and control limits
  • Chart titles written as findings rather than generic measure labels

Participants can build controlled interactions that let users explore dashboard detail without damaging logic.

  • Slicers connected across PivotTables through shared report connections
  • Timelines filtering period-based dashboard views with consistent calendar logic
  • Data validation lists controlling scenario, region and business-unit selections
  • Form controls linked to cells for simple user-selected parameters
  • Dynamic chart ranges driven by Excel Tables and named formulas
  • Drill paths designed from summary indicators to supporting detail sheets
  • Conditional formatting highlighting thresholds, trends and exception categories
  • Reset controls documented to return dashboard filters to default states

Participants can assemble a maintainable Excel dashboard workbook with clear user guidance.

  • Dashboard sheets separated from data, calculations and supporting documentation
  • Workbook navigation designed with hyperlinks, section labels and return paths
  • Page layout configured for screen viewing, PDF export and print constraints
  • Freeze panes and sheet protection applied without restricting authorised updates
  • Formula dependencies reviewed using Trace Precedents and Trace Dependents
  • Workbook performance improved through efficient formulas and controlled ranges
  • File naming conventions identify version, period, owner and publication status
  • User instructions explain refresh sequence, filters, definitions and limitations

Participants can test dashboard reliability and prepare a controlled process for publication and refresh.

  • Reconciliation tests compare dashboard totals with approved source records
  • Boundary testing checks empty periods, missing categories and extreme values
  • Visual inspection checks labels, axes, filters and conditional formatting
  • KPI dictionary reviewed for consistent definitions, ownership and calculation logic
  • Refresh procedures documented with dependencies, timings and exception handling
  • Workbook protection assessed for formulas, input cells and confidential information
  • Accessibility checks address colour contrast, labels and non-colour status cues
  • Version control records changes to logic, data sources and published outputs

Participants can plan the implementation of an Excel dashboard for a defined reporting cycle.

  • Dashboard launch plan defines sponsor, users, cadence and distribution channel
  • Requirements backlog prioritised using MoSCoW categories and delivery dependencies
  • Stakeholder review sessions structured around decisions, measures and usability feedback
  • Adoption measures track usage, refresh completion and recurring user questions
  • Change requests assessed against KPI governance and dashboard design standards
  • Maintenance calendar schedules data refreshes, quality checks and periodic redesign
  • Application plan identifies a workplace dashboard, owners and first milestones
  • Personal action commitments specify methods to apply during the next reporting cycle

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Dashboard requirements brief template
  2. KPI dictionary template
  3. Excel dashboard wireframe
  4. Power Query preparation checklist
  5. Dashboard quality assurance checklist
  6. Dashboard implementation plan

Who should attend

  • Business Analysts — need decision-ready reporting from operational and financial data
  • Management Information Analysts — build recurring KPI packs for managers and executives
  • Finance Analysts — present budgets, forecasts, variances and performance drivers clearly
  • Data Analysts — convert prepared datasets into usable Excel reporting products
  • Programme Monitoring Officers — track delivery indicators, milestones and exceptions
  • Operations Managers — interpret and maintain team performance dashboards

Skills and tools covered

Dashboard requirements analysisKPI definitionPower Query transformationExcel data modellingDashboard visual designDashboard quality assurance

Tools and standards

Microsoft Excel, Power Query, Power Pivot, DAX

How the course runs

Training methodology

The course uses short instructor briefings followed by guided Excel builds, case analysis, peer review and facilitated discussion. Participants translate reporting questions into dashboard requirements, then develop data, calculations, visuals and interactivity in stages. Cases reflect recurring management reporting challenges, including budget variance, programme delivery, branch performance and sales activity. Trainers use critique sessions to compare design choices against user needs and dashboard principles. Each participant completes an application plan for adapting the methods, templates and checks to a live reporting requirement.

Requirements and prerequisites

Participants should be comfortable with everyday Excel tasks, including worksheets, cell references, basic formulas, sorting, filtering and simple charts. Experience working with business data such as sales, finance, operations, programme or workforce records is useful. Participants should understand the measures they report or be able to describe their reporting requirements. Prior experience with Power Query, Power Pivot, DAX, VBA, SQL, Power BI or formal data modelling is not required. The course focuses on Excel desktop features; a Windows laptop with a current Microsoft 365 desktop installation is recommended.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

You should already be comfortable with worksheets, basic formulas, sorting, filtering and simple charts. Power Query, Power Pivot, DAX and VBA experience are not required; these are introduced where they support dashboard development.

Bring a Windows laptop with Microsoft Excel desktop, preferably a current Microsoft 365 version, and a charger. If permitted by your employer, bring a non-sensitive example of a report or dashboard requirement to use in your application plan.

It is designed for analysts, finance staff, management information professionals, programme officers and operational managers who build or maintain recurring Excel reports. It is less suitable for complete Excel beginners or specialists seeking advanced Power BI development.

This course concentrates on designing, building, testing and maintaining decision-ready dashboards in Excel. It includes analysis methods where needed, but its primary output is a usable reporting product rather than statistical analysis or a Power BI semantic model.

You can use the requirements brief, KPI dictionary, wireframe and quality checklist for a current management report. The methods apply to recurring dashboards for finance, operations, programmes, sales, service delivery and workforce reporting.

Training runs from 08:30 to 16:30 each day, providing about 6.5 contact hours daily. Time is allocated across requirements, data preparation, calculation models, visual design, interactivity, quality assurance and an individual application plan.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.

Ask on WhatsApp info@skillsetdevelopment.com

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