What the course covers
- Three modules cover Copilot-assisted data analysis/forecasting and bias limits, automated charts/dashboards with accessibility review, and report/presentation narratives tailored to technical and nontechnical stakeholders.
- The page frames the course as part of Generative AI for Data Scientists and as a progression from data preparation.
Practice & assessment
Six assignments and a peer review are listed. Tasks include interpreting datasets, evaluating chart clarity/accessibility, choosing tools, and presenting findings. The page says hands-on projects, but does not expose the complete peer-review rubric in the captured syllabus.
Time, cost & access
- Format
- Self-paced
- Delivery & schedule
- Self-paced Coursera course; shareable career certificate advertised as part of its specialization. Current checkout, access duration and trial eligibility were not tested.
- Time
- Three module estimates total 6 hours; page does not provide a separate course-level estimate in the saved text.
- Fee
- Course fee and currency/tax unknown. Copilot license is a separate software requirement; the course page describes a free 30-day trial for eligible Microsoft 365 Personal/Family users, but current terms were not verified.
- Teaching language
- English
- Entry requirements
- Target audience is data analysts, business analysts, operations managers and junior data scientists who regularly handle data. Basic spreadsheet/tabular familiarity helps; no coding or prior AI required. Access to Microsoft Copilot is required; page says Microsoft 365 Personal/Family license or a 30-day trial is needed.
- Credential
- Shareable Coursera career certificate advertised; this is completion-based, not an independently verified Microsoft certification.
Latest recorded provider-source check: . Individual source dates appear below. Reconfirm current enrollment terms with the provider.
Provider sources & recorded check dates
- Provider source ↗ — source captured