Bring it all together in one practical project
Apply spreadsheets, SQL concepts, a dashboard and written insights to a single business dataset.
Purpose
The final project shows you can take a business question from raw data to a clear recommendation. It is small by design, so you can complete it within the course and explain every step.
You can use it as an example of practical work in your portfolio or professional materials. It is not a certification and does not guarantee any career outcome.
Project structure
Dataset analysis
Review a business dataset, define the question and check data quality.
Spreadsheet work
Clean the data, create calculated columns and summarize with pivot tables.
SQL concepts
Write simple queries that answer parts of the question, such as totals by category.
Dashboard
Build a one-page dashboard with scorecards, a trend chart and a comparison chart.
Written insights
Summarize what you found using the "what, so what, now what" structure.
Final presentation
Present your findings as if to a non-technical stakeholder.
What a finished project could look like
This example was created by Data Lunex to illustrate the format. It is not a real student's work.
Store Performance · Q2 (sample data)
Illustrative mockup created for this website.
Written summary (example)
Question: Which products should the store promote next quarter?
Finding: Mugs generated 49% of Q2 revenue with the highest unit volume. Notebook sales declined three months in a row.
Recommendation: Feature mugs in a bundle with tote bags and test a lower notebook price for four weeks.
Illustrative example with sample data.
Ready to make sense of your data?
Four weeks. Practical exercises. Real business questions. No programming background needed.