Data Analytics Using Power BI: Data Modeling and Visualization


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description
Data must sometimes be modeled for use in analytic software such as Power BI. This can reveal patterns and relationships that can be conveyed in a quick and compact form using visualizations.

Target Audience
IT technicians and business analysts who need to analyze data utilizing Power BI

Prerequisites
None

Expected Duration (hours)
1.4

Lesson Objectives

Data Analytics Using Power BI: Data Modeling and Visualization

  • start the course
  • recognize when to use Data View in Power BI Desktop
  • recognize when to use Relationship View in Power BI Desktop
  • navigate through Desktop View in Power BI Desktop
  • navigate through Relationship View in Power BI Desktop
  • explain the purpose of DAX, including syntax
  • create a DAX measure formula
  • define how visualization can quickly convey messages from large datasets
  • explain how KPIs are used to measure progress
  • explain how to work with and create reports
  • create a report in Power BI
  • explain how dashboards can be used to monitor data at a glance
  • create a custom Power BI dashboard
  • share a Power BI dashboard with other users
  • filter visualizations using slicers
  • ensure data is in a form usable by Power BI for querying and visualization
  • Course Number:
    df_mpbi_a03_it_enus

    Expertise Level
    Intermediate