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 Duration 14 hours

Course Outline

Module 1: Foundations

  • Curriculum structure and module content
  • Resource acquisition: project files
  • Overview of the course project
  • Essential administrative details

Module 2: Overview of Microsoft Power BI

  • Presentation of Power BI Desktop components
  • Installation procedures and configuration settings
  • Critical configuration and option management
  • Power BI Service and mobile application integration

Module 3: Data Connection and Modeling in Microsoft Power BI Desktop

  • Categorization of data connectors in Power BI Desktop
  • Query Editor (Power Query) functionality
  • Data ingestion from Excel and CSV sources
  • Foundational table transformations in Power BI Desktop
  • Utilization of TEXT type tools
  • Utilization of NUMERIC type tools
  • Utilization of DATE and TIME instruments
  • Generation of conditional and index-based columns
  • Data grouping and aggregation techniques
  • Pivot and Unpivot operations in Power BI
  • Data fusion using Power Query (Merge)
  • Data appending in Power Query (Append)
  • Import processes from folder structures
  • Modification of data sources and refresh mechanisms

Module 4: Establishing Inter-Table Links and Data Models in Power BI Desktop

  • Definition and structure of Data Models
  • DATE type tables and DIMENSION type tables
  • Establishing relationships between data tables
  • Administration and editing of table relationships
  • Cardinality of relationships; Filter Flow dynamics
  • Integration of multiple DATA type tables

Module 5: Data Analysis with DAX Calculations in Power BI

  • Introduction to DAX (Data Analysis Expressions) and SYNTAX
  • Introductory DAX concepts – Calculated Columns
  • Introductory DAX concepts – Measures
  • Filter context application in Measures
  • Classification of DAX functions
  • Date and Time function utilities

Module 6: Data Visualization in Power BI

  • Introduction to the "Report" Mode
  • Integration of visuals in Power BI
  • Visual formatting parameters
  • Filtering capabilities
  • Data exploration via Matrix visuals
  • Data refinement using Slicers
  • Value presentation via Card and KPI visuals
  • Configuration of interactions between reports

Module 7: Power BI Service and Microsoft Teams Integration

  • Publishing reports from Power BI Desktop to Power BI Service
  • Dashboard creation from published reports
  • Distribution options to team members via Microsoft Teams
  • Sharing protocols and collaboration in Power BI Service
  • Data export capabilities: Excel, PowerPoint, PDF

Requirements

Power BI Desktop 64-bit architecture

Power BI Service or Power BI Pro license required for Module 7.

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