5910 Breckenridge Pkwy Suite B, Tampa, FL. 33610
(800) 272-0707

SkillSoft Explore Course

IT Skills     Data and Databases     Data Visualization     DA-100: Analyze and Share Data with Power BI
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.

Objectives

PL-300: Extracting Insights from Data Using Power BI

  • discover the key concepts covered in this course
  • apply different summary statistics to obtain different metrics from your data
  • recognize how duplicated numeric values can be aggregated in visuals
  • create groups out of the existing categorical values in a table field
  • edit, manage, and use customized groups in visuals
  • create groups out of a numeric field by binning the data points
  • identify clusters in your data by using the clusters feature in Power BI
  • recognize how to interpret clusters in your data and tweak Power BI's clustering algorithm for your data
  • use the play axis feature of a Power BI scatter chart to enable chart animation and explore data at different points in time
  • analyze data over a time series using a line chart and a slicer
  • find the values in a categorical field that have the greatest influence on a numeric field in your data
  • identify key influencers across multiple fields in your dataset
  • find the range of values in a numeric field that serves as key influencers for a metric
  • summarize the key concepts covered in this course