Microsoft Tools · MIC-50

Excel Dashboards for Data Analysis and Presentation

Excel Dashboards for Data Analysis and Presentation is a course in building dashboards in Excel, from preparing data with Power Query and summarising it with PivotTables and PivotCharts to slicers and KPI cards. It suits managers, supervisors and staff who report figures regularly, and you leave with a sales dashboard that refreshes in one click.

Updated
From 7,110 THB / person 7,900 −10% excl. VAT 7% · group rates available
PDFDownload the course outline
  • Duration6 hours · 1 days
  • FormatOnsite / live online
  • Next roundOn request
  • CertificateIncluded

Course overview

Reports that must be updated every week or month often eat up time copying data, rebuilding summary tables and redrawing charts, while managers still have to open several sheets to see the big picture. A dashboard brings the key figures, charts and filters together on one page, lets users choose what to see by month, branch or product, and updates the whole page with a single refresh when new data arrives.

This course builds a dashboard in Excel step by step: design principles, preparing data with Excel tables and Power Query, connecting several tables with the Data Model, summarising figures with PivotTables and choosing the right charts with PivotCharts. Learners then add slicers and timelines, build KPI cards with formulas, use conditional formatting and sparklines, and lay the page out so it is easy to read. The course closes with a workshop that builds a sales dashboard ready to share. (1 day, 6 hours, Intermediate level.)

What you’ll gain

  • Understand the components and design principles of a dashboard that communicates clearly
  • Prepare data from several sources with Excel tables and Power Query so it can be refreshed
  • Connect several tables with the Data Model and summarise them with PivotTables
  • Choose and format PivotCharts that suit each kind of data
  • Control a dashboard with slicers and timelines connected to several reports at once
  • Highlight key figures with KPI cards, conditional formatting and sparklines
  • Lay out and share a dashboard so others can use it safely

Who this course is for

  • Managers, supervisors and staff who report figures regularly
  • Sales, marketing, accounting and HR staff who need to present data clearly
  • Anyone who wants to cut the time spent on repetitive reports with Excel tools
  • PivotTable users who want to take the next step to dashboards

Prerequisites

  • Basic Excel such as entering data, formatting and creating charts
  • Basic formulas such as SUM, AVERAGE and IF
  • Some experience of PivotTables will help you move faster
  • A Windows laptop with Excel from Microsoft 365 (recommended) or Excel 2024

Curriculum

Course Details

This course is a 2026 edition that replaces the previous Excel dashboard course. It has been rewritten for Excel in Microsoft 365 and Excel 2024. It runs for 1 day, 6 hours (09:00-16:00), as lectures with labs on a single set of sales, product and branch data throughout the day. Intermediate level. The course focuses on dashboards that genuinely refresh, from preparing data with Power Query through to sharing. Those who want a grounding in data management and advanced formulas first can take the Advanced Microsoft Excel for Microsoft 365 course. Learners take home a lab guide, solution files for every lab and the sales dashboard from the workshop to adapt to their own data.

Day 1: Building an Excel Dashboard from Data to Presentation

Section 1 Dashboard Design Principles
  • How a dashboard differs from an ordinary report, and starting from the user's questions
  • Choosing the key KPIs and guiding the eye from overview to detail
  • Using colour and white space to emphasise what matters, without over-decorating
  • Workshop: sketch a sales dashboard layout on paper before building it
Section 2 Lab: Preparing Data with Excel Tables and Power Query
  • Data structures that suit summarising, and turning ranges into Excel tables
  • Get Data from Excel files, CSV files and whole folders
  • Clean data and fix data types in the Power Query Editor
  • Lab: combine monthly sales from several files so they can be refreshed
Section 3 Lab: Connecting Tables with the Data Model
  • Fact tables and lookup tables, such as sales, products and branches
  • Add tables to the Data Model and create relationships
  • PivotTables across several tables without XLOOKUP to merge data
  • Lab: summarise sales by product category and region from three tables
Section 4 Lab: Summarising Figures with PivotTables
  • Arranging rows, columns, values and filters for a dashboard
  • Value field settings, number formats and Show Values As
  • Grouping dates into months, quarters and years
  • Lab: a summary of sales, profit and share by branch
Section 5 Lab: Choosing the Right Chart with PivotCharts
  • Choosing column, bar, line, combo or pie charts to answer the question
  • Formatting charts for readability: titles, axes, data labels and colour
  • The limits of PivotCharts, and charts based on dynamic array formulas
  • Lab: a monthly trend chart and a branch sales comparison chart
Section 6 Lab: Slicers and Timelines
  • Add slicers to choose a branch, product category or salesperson
  • Timelines for selecting months, quarters or years
  • Report Connections so one filter controls several PivotTables
  • Lab: one set of filters that controls every table and chart on the page
Section 7 Lab: KPI Cards with Formulas
  • Pull figures from a PivotTable with GETPIVOTDATA
  • Summarise by group with the GROUPBY function in Microsoft 365
  • Compare against targets or the previous period and show percentages
  • Lab: cards for total sales, number of orders and growth rate
Section 8 Conditional Formatting and Sparklines
  • Data Bars, Color Scales and Icon Sets in PivotTables
  • Highlight Cells Rules and formula-based rules to flag unusual values
  • Sparklines to show trends in a cell next to the figures
  • Lab: highlight branches below target and add a trend for each branch
Section 9 Laying Out the Dashboard for Readability
  • Arrange elements on a grid and align them evenly
  • Hide gridlines and headings, and use one colour scheme across the page
  • Add alt text and check the page with Check Accessibility
  • Prepare the page for printing and export it to PDF
Section 10 Workshop: A Sales Dashboard Ready to Share
  • Workshop: build a one-page sales dashboard from raw data to finish
  • Test Refresh All when a new month of data arrives
  • Protect the sheet and share through OneDrive or SharePoint
  • Next steps towards Power BI as data and users grow

Schedule & training options

For individuals — public rounds

No public rounds are open right now. Join the waiting list and we will contact you first when the next round opens, or ask us on LINE. Or call 02-570-8449 or 088-807-9770

For organisations — in-house / private

  • Tailor the content to your team’s tools and projects
  • Your dates, at your office or live online
  • Quotation with tax ID for procurement
Corporate training quote

Instructors

Frequently asked questions

What are the steps to build a dashboard in Excel?

Start by deciding which figures users need and sketching the layout. Prepare the data as an Excel table or pull it in with Power Query so it can be refreshed, and connect several tables with the Data Model if needed. Build PivotTables that summarise the figures on a separate sheet, then place PivotCharts, KPI cards and slicers on the dashboard page. Finally, use conditional formatting to highlight key values, test Refresh All and protect the sheet before sharing.

What is a slicer in Excel and how do you use it to filter several PivotTables at once?

A slicer is a set of clickable filter buttons, for example for branch or product category, and any connected PivotTables and PivotCharts show only the selected data. A timeline does the same for date ranges. To let one slicer control several reports, select the slicer, choose Report Connections and tick every PivotTable you want. Those PivotTables must be built from the same data source or the same Data Model.

How does a PivotChart differ from an ordinary chart, and what are its limitations?

A PivotChart is built from a PivotTable, so it changes instantly with grouping, filters and slicers, which makes it ideal for interactive dashboards. An ordinary chart refers to a fixed range of cells. PivotCharts cannot use some chart types, such as XY (scatter), stock, bubble, treemap and statistical charts, and their layout is tied to the PivotTable structure. For other chart types that still update with the data, use an ordinary chart based on the results of dynamic array formulas.

Who is the Excel Dashboards for Data Analysis and Presentation course for, and what should I know beforehand?

It suits managers, supervisors and staff who report figures regularly, as well as sales, marketing, accounting and HR staff who need to present data clearly. You should already be comfortable with basic Excel, charts and formulas such as SUM, AVERAGE and IF, and some PivotTable experience will help you move faster. Excel from Microsoft 365 on Windows is recommended.

What will I be able to do after the Excel Dashboards for Data Analysis and Presentation course?

You will be able to design dashboards that communicate clearly, prepare data with Power Query so it refreshes, connect tables with the Data Model, summarise with PivotTables, choose suitable charts, control the view with slicers and timelines, build KPI cards and share the dashboard with others, and you take home the sales dashboard from the workshop. Participants who complete the training receive a Certificate of Completion with its own number, which can be verified online.

Can the Excel Dashboards for Data Analysis and Presentation course be run in-house for our team?

Yes. It can be run in-house for your team, with examples adapted to your own work, such as turning the reports your team sends to management into a dashboard. You can request a quotation from this page, or contact us on LINE @itgenius or by phone on 02-570-8449.

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