What the course covers

  • 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.

Practice & assessment

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.

Time, cost & access

Format
Self-paced
Delivery & schedule
Self-paced Microsoft Coursera course with shareable career-certificate language. Current course price/access conditions not tested.
Time
Module estimates are 3 h + 2 h + 3 h = about 8 hours; no separate whole-course estimate captured.
Fee
Course charge/currency/tax unknown. Copilot is an additional software prerequisite; a 30-day trial is described by the course, but software price/renewal conditions were not checked.
Teaching language
English
Entry requirements
Designed for data/business analysts and junior data scientists with basic table/spreadsheet familiarity; no coding or prior AI required. A Microsoft Copilot license is required, and page references an available 30-day Microsoft 365 Personal/Family trial; current terms and feature access are unverified.
Credential
Shareable Coursera certificate advertised; not a Microsoft product certification or external credential.

Latest recorded provider-source check: . Individual source dates appear below. Reconfirm current enrollment terms with the provider.

Provider sources & recorded check dates