PL-300: Analysis & Sharing Features in Power BI

Microsoft Power BI    |    Intermediate
  • 10 videos | 1h 31m 54s
  • Includes Assessment
  • Earns a Badge
Analyzing data can throw light on game-changing insights. To action these insights, it's imperative the appropriate data is shared with the right people. Learn how to analyze and share data using Power BI in this PL-300 preparatory course. Explore considerations when building Power BI reports and collaborating with others. Learn how to streamline report deployment and sharing using Power BI pipelines, which help manage large and complex report deployments. And examine critical practices for securing reports by limiting the data accessible to viewers. Moving on, examine essentials to keep in mind when preparing for the PL-300 certification. Finally, get hands-on with Power BI Desktop, performing some preliminary analysis to identify outliers in your data. Upon completion, you'll know how to analyze data and share reports competently. You'll also be more prepared for the PL-300 certification exam.


  • Discover the key concepts covered in this course
    Recognize the different phases and roles involved when building and sharing power bi reports
    Identify the features available in power bi to collaborate with other developers and share reports with end users
    Describe the power bi features available to develop and share reports and dashboards
    Recall the steps involved in preparing for and taking the da-100 certification exam for data analysis
  • Load a dataset into power bi desktop for analysis
    Use a scatter chart to identify outliers in your dataset
    Use a scatter chart to find outliers within categories of your dataset
    Write a dax expression to identify outliers
    Summarize the key concepts covered in this course


  • 3m
  • 9m 33s
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    3.  Sharing Data with Power BI
    13m 8s
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    4.  Managing Power BI Resources
    11m 5s
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    5.  Preparing for the DA-100 Exam
    8m 59s
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    6.  Loading and Processing Data for Analysis
    12m 18s
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    7.  Identifying Outliers in the Full Dataset
    11m 39s
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    8.  Finding Outliers in a Filtered Dataset
    8m 46s
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    9.  Defining Outliers Using DAX
    11m 31s
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    10.  Course Summary
    1m 56s


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