Advanced Analytics with Power BI

Edureka connects Power BI analysis with the data model behind a report. Transformation and DAX lead into visual decisions, collaboration and publishing through the service. The course is useful when you want to understand why a measure returns a particular result and how a report can be shared without losing the assumptions that make its figures meaningful.

What you will learn

• Prepare and model data for Power BI analysis.
• Use DAX expressions for calculated analytical results.
• Develop and publish reports through Power BI Service.

Who this suits

Familiarity with Excel or an equivalent spreadsheet tool is helpful. Basic report-building experience will make it easier to concentrate on modeling and DAX rather than interface navigation alone.

Before you enroll

Check current Desktop and Service features, account licensing and sharing permissions. A published dashboard should retain clear definitions and data-quality limits; a persuasive visual does not resolve an unsuitable model.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for included assessments, certificate terms, trials and any financial-aid options. Access conditions can change; review the current offer before paying.

Put it into practice

Build two measures for the same small dataset and explain their filter context. Test the totals under different selections, then document one assumption a report reader needs in order to interpret the result correctly.

Source and review

This overview is based on the provider's published information, checked on 14 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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