What you’ll learn
- Three modules cover Copilot-supported data-quality/anomaly evaluation, synthetic-data generation with privacy/quality discussion, and cleaning/preparing data for analysis.
- The syllabus names deduplication/standardization and bias/ethics considerations
- Intended users already work with spreadsheets/datasets.
What does the learning look like?
- Seven assignments, an ungraded lab and one peer review are listed, including applying Copilot to a sample dataset, identifying/fixing issues, generating synthetic data and reviewing ethical implications.
- The page's high-level tasks are data-professional work rather than general assistant routines.
Example to try
Connect a repeated task
- 01Start with
A message, form or new file
- 02Make a first pass
A useful record in the next app
- 03Make it yours
Review the result before saving or sending
Use a fictional example to practise the workflow.
Cost, access and setup
Course cost
- Copilot is an additional software prerequisite
Check the currency and total with the provider.
Check whether tax is included.
What you’ll need
- Basic table or spreadsheet familiarity is expected.
- No coding or prior AI experience is required.
- You’ll need a Copilot licence
- The course links to a 30-day Microsoft 365 Personal or Family trial.
How you’ll learn
- Module estimates are 3h + 2h + 3h = about 8 hours
Certificate
- Shareable Coursera certificate listed
- Not a Microsoft product certification or external credential.
Help along the way
- Seven assignments, one lab and one peer review are listed
Instructor
- Microsoft is the named instructor/provider