You have spent 29 lessons building individual skills. Now it is time to use them all together. This capstone project mirrors what a real analyst delivers at the end of a sprint — a clean, functional dashboard from raw data to executive-ready output.
Project overview
You will build a monthly sales performance dashboard from a raw CSV file. The final output includes a KPI summary row, a regional breakdown pivot table, a trend line chart, conditional formatting on performance, and dropdown filters for region and month.
Dataset setup
Download the sample-sales-data.csv from the Practice Lab. Load it into Excel using Data → From Text/CSV. Format the Revenue and Cost columns as Currency, OrderDate as Date.
Building the summary pivot
Insert → PivotTable. Rows: Region. Values: Sum of Revenue, Sum of Profit. Sort by Revenue descending. This becomes the core of your dashboard.
Adding KPI cards
In a separate area, use SUMIF and COUNTIF formulas to create headline numbers: Total Revenue, Total Orders, Average Order Value, Total Profit Margin %. Format each with a bold large font in a bordered cell.
Chart layer
Insert a Line Chart from the monthly revenue data. Add a data label for the final point. Title it clearly. Remove gridlines. This is your trend visual.
Conditional formatting layer
Apply a Green-Yellow-Red colour scale to the regional revenue column. Add an icon set (arrow up/down) to the month-over-month change column.
Data validation controls
Add a dropdown list for Region using Data Validation → List. Link it to your pivot table's Report Filter so selecting a region updates the entire dashboard.
Complete the full dashboard using only the sample CSV. Share a screenshot in the community. Review checklist: KPI row ✓ Pivot table ✓ Trend chart ✓ Conditional formatting ✓ Dropdown filter ✓