PL-300: Extracting Insights from Data Using Power BI
Microsoft Power BI 2.96
| Intermediate
- 14 Videos | 1h 54m 41s
- Includes Assessment
- Earns a Badge
Getting insights from data isn't always straightforward. However, using a tool like Power BI helps with heavy lifting. Through this hands-on course, learn to obtain insights from data using a combination of Power BI's visualization and analysis features. Explore how and why numeric data is summarized. Discover how the sum, mean, and median statistics, among others, give different views of the same data. Practice modeling data into customized groups to better represent it to end users. Use scatter charts to identify clusters and enable analysis of snapshots of data with a play axis. Finally, use the key influencers visual to identify how certain metrics are influenced by values in other fields. Upon completion, you'll know how to take advantage of the analytics features of Power BI visuals. You'll also be more prepared for the DA-100 certification exam.
WHAT YOU WILL LEARN
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discover the key concepts covered in this courseapply different summary statistics to obtain different metrics from your datarecognize how duplicated numeric values can be aggregated in visualscreate groups out of the existing categorical values in a table fieldedit, manage, and use customized groups in visualscreate groups out of a numeric field by binning the data pointsidentify clusters in your data by using the clusters feature in Power BI
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recognize how to interpret clusters in your data and tweak Power BI's clustering algorithm for your datause the play axis feature of a Power BI scatter chart to enable chart animation and explore data at different points in timeanalyze data over a time series using a line chart and a slicerfind the values in a categorical field that have the greatest influence on a numeric field in your dataidentify key influencers across multiple fields in your datasetfind the range of values in a numeric field that serves as key influencers for a metricsummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview2m 56sUP NEXT
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2.Displaying Summary Statistics8m 52s
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3.Aggregating Duplicated Values6m 14s
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4.Grouping Categorical Values10m
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5.Editing and Applying Customized Groups5m 51s
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6.Binning Data Based on a Numeric Column9m 48s
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7.Finding Clusters in a Dataset11m 59s
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8.Interpreting and Configuring Clusters11m 44s
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9.Animating Scatter Charts with a Play Axis10m 38s
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10.Time Series Analysis with Line Charts7m 8s
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11.Identifying Key Influencers of Metrics12m 4s
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12.Identifying Combinations of Key Influencers10m 59s
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13.Finding Numeric Field Values as Key Influencers4m 28s
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14.Course Summary2m 1s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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