Instructor-led Training

Microsoft Certified: Power BI Data Analyst Associate

If you enjoy analyzing data and using Power BI to discover and unlock data insights, this could be the ideal certification for you—especially if you use those insights to provide easy-to-understand data visualizations that can help drive the success of your team and organization.

You fit the profile for a Power BI Data Analyst Associate if you have a fundamental understanding of data repositories and data processes, both on-premises and in the cloud. You’re also a subject matter expert who enables organizations to maximize the value of their data assets by using Power BI. Your responsibilities include designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value. You also collaborate with key stakeholders across verticals to deliver relevant insights based on identified business requirements.

Course Outline

Get data from different data sources

  • identify and connect to a data source
  • change data source settings
  • select a shared dataset or create a local dataset
  • select a storage mode
  • use Microsoft Dataverse
  • change the value in a parameter
  • connect to a data flow

Clean, transform, and load the data

  • profile the data
  • resolve inconsistencies, unexpected or null values, and data quality issues
  • identify and create appropriate keys for joins
  • evaluate and transform column data types
  • shape and transform tables
  • combine queries
  • apply user-friendly naming conventions to columns and queries
  • configure data loading
  • resolve data import errors

Design a data model

  • define the tables
  • configure table and column properties
  • design and implement role-playing dimensions
  • define a relationship's cardinality and cross-filter direction
  • design a data model that uses a star schema
  • create a common date table

Develop a data model

  • create calculated tables
  • create hierarchies
  • create calculated columns
  • implement row-level security roles
  • use the Q&A feature

Create model calculations by using DAX

  • create basic measures by using DAX
  • use CALCULATE to manipulate filters
  • implement Time Intelligence using DAX
  • replace implicit measures with explicit measures
  • use basic statistical functions
  • create semi-additive measures
  • use quick measures

Optimize model performance

  • remove unnecessary rows and columns
  • identify poorly performing measures, relationships, and visuals
  • reduce cardinality levels to improve performance

Create reports

  •  add visualization items to reports
  • choose an appropriate visualization type
  • format and configure visualizations
  • use a custom visual
  • apply and customize a theme
  • configure conditional formatting
  • apply slicing and filtering
  • configure the report page
  • use the Analyze in Excel feature
  • choose when to use a paginated report

Create dashboards

  • manage tiles on a dashboard
  • configure mobile view
  • use the Q&A feature
  • add a Quick Insights result to a dashboard
  • apply a dashboard theme
  • pin a live report page to a dashboard

Enhance reports for usability and storytelling

  • configure bookmarks
  • create custom tooltips
  • edit and configure interactions between visuals
  • configure navigation for a report
  • apply sorting
  • configure Sync Slicers
  • group and layer visuals by using the selection pane
  • drilldown into data using interactive visuals
  • export report data
  • design reports for mobile devices

Identify patterns and trends

  • use the Analyze feature in Power BI
  • identify outliers
  • choose between continuous and categorical axes
  • use groupings, binnings, and clustering
  • use AI visuals
  • use the Forecast feature
  • create reference lines by using the Analytics pane

3 Days

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