Visualization for Data Analysis with Power BI

Microsoft develops the reasoning behind analytical views through statistics. Foundations lead into more advanced analysis and business intelligence, then a final project. This course complements interface-focused reporting study by examining what a displayed pattern can support.

What you will learn

• Explain statistical ideas used in a data analysis.
• Apply analytical methods in a Power BI workflow.
• Connect an analysis with a business-intelligence question.

Who this suits

Beginners; the provider recommends following its course sequence because skills build across the program.

Before you enroll

No formal prerequisites are listed. Review earlier tool and data-preparation work if needed, and distinguish a statistical association from a causal explanation.

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Put it into practice

Analyze a small public dataset and compare two group summaries. Explain how sample size and missing observations affect the interpretation of the visual result.

Source and review

This overview is based on the provider's published information, checked on 12 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.

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