Microsoft Copilot for Data Analysis and Visualization

What the course covers

• Ten modules cover Power Query M-code generation and configuration; cleaning/standardizing, pivoting, parsing, derivations and anomaly checks; descriptive statistics, correlations, trends and hypothesis testing; Excel visualizations; interactive Power BI dashboards and real-time refresh/sharing; Copilot in Excel; PowerPoint/Word summaries and storyboards; and data-backed project reporting.
• Named tools include Copilot, Excel, Power BI, Power Query and PowerPoint.

Practice & assessment

Nine assignments are listed. Module assessments include data preparation/Excel automation, business data insights, dashboard/report building and spreadsheet workflow tasks; lesson pages also name a hands-on complete analysis-report exercise. The page describes hands-on lessons; no finished portfolio rubric or independent tool test captured.

Time, cost & access

Format

Self-paced

Delivery & schedule

Self-paced Coursera course, based on a Packt publication/course by Anton Voroniuk and licensed/distributed by Packt. Current Coursera trial/subscription eligibility not captured.

Time

Ten displayed module estimates total about 6 h 52 (6 m, 24 m, 1 h, 1 h, 1 h, 29 m, 24 m, 29 m, 1 h, 1 h); these are the module estimates only.

Fee

Course fee, currency, tax, subscription/trial eligibility and Excel/Power BI/Copilot license costs were not captured; no checkout opened.

Teaching language

English

Entry requirements

The page recommends basic Excel and Power BI understanding; no Copilot experience is required. It targets data analysts, BI professionals, project managers and people working with large datasets. Requires access to relevant Microsoft analytics products; exact plans/tenant features and costs not specified.

Credential

Shareable Coursera course certificate advertised; not a Microsoft Power BI certification or evidence of external recognition.