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Microsoft

Data analysis in Power BI

Microsoft via Microsoft Learn

Overview

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  • Module 1: You will learn how to use Power BI to perform data analytical functions, how to identify outliers in your data, how to group data together, and how to bin data for analysis. You will also learn how to perform time series analysis. Finally, you will work with advanced analytic features of Power BI, such as Quick Insights, AI Insights, and the Analyze feature.
  • In this module, you will:

    • Explore 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 advanced analytics custom visuals.
    • Review Quick insights.
    • Apply AI Insights.
  • Module 2: This module describes the AI capabilities of Power BI.
  • In this module, you will:

    • Use the Q&A visual.
    • Find important factors with the Key influencers visual.
    • Use the Decomposition Tree visual to break down a measure.

Syllabus

  • Module 1: Perform analytics in Power BI 
    • Introduction to analytics
    • Explore 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 advanced analytics custom visuals
    • Review Quick insights
    • Apply AI Insights
    • Check your knowledge
    • Summary
  • Module 2: Work with AI visuals in Power BI
    • Introduction to working with AI visuals
    • Use the Q&A visual
    • Find important factors with the Key influencers visual
    • Use the Decomposition Tree visual to break down a measure
    • Lab - Perform data analysis in Power BI Desktop
    • Check your knowledge
    • Summary

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