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- Identify your audience, choose suitable report types, and define interface and experience requirements to effectively plan your report design.
In this module, you learn how to:
- Determine business goals.
- Identify your audience.
- Determine report types.
- Define user interface requirements.
- Define user experience requirements.
- Design effective Power BI reports that are visually appealing and easy to understand with consistent report structure, interactive objects, and filtering.
In this module, you learn about:
- Report structure.
- Report objects.
- Different visualization types.
- Calculations in Power BI are necessary to enrich data analysis. Visual calculations simplify complex formulas, enhance performance, and reduce maintenance.
By the end of this module, you'll be able to:
- Understand visual calculations and how they differ from measures.
- Create visual calculations in Power BI Desktop.
- Use parameters in visual calculations.
- Report filtering is a complex topic because many techniques are available for filtering a Microsoft Power BI report. However, with complexity comes control, allowing you to design reports that meet requirements and expectations.
In this module, you will:
- Design reports for filtering.
- Design reports with slicers.
- Design reports by using advanced filtering techniques.
- Apply consumption-time filtering.
- Select appropriate report filtering techniques.
- Enhance Power BI report designs for the user experience
In this module, you learn how to:
- Design reports that present details and highlight key values.
- Build interactive reports with intuitive navigation and app-like experiences.
- Enhance user experience using bookmarks, visual headers, and built-in assistance.
- Incorporate specialized visuals to meet unique reporting needs.
- Advanced analytics helps you gain deeper insights into your data, identify trends, and make data-driven decisions. Power BI provides a variety of tools and features to help you analyze your data effectively.
In this module, you learn how to:
- Create a statistical summary.
- Identify outliers with Power BI visuals.
- Group and bin data for analysis.
- Apply clustering techniques.
- Conduct time series analysis.
- Use the Analyze feature.
- Use custom visuals for advanced analytics.
- Review Quick insights.
- Apply AI Insights.
