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.
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 1Dashboard 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 2Lab: 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 3Lab: 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 4Lab: 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 5Lab: 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 6Lab: 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 7Lab: 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 8Conditional 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 9Laying 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 10Workshop: 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
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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Excel Dashboards for Data Analysis and Presentation6 hrs · 1 days