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Course Outline

Introduction

  • Overview of Power BI capabilities and system architecture
  • Utilization of advanced tools for comprehensive data analysis in Power BI

Getting Started

  • Installation procedures for Power BI and associated components
  • Strategic approaches to data management for operational efficiency
  • Fundamentals of the Data Analysis Expressions (DAX) language

Managing Data

  • Data querying and aggregation techniques
  • Integration of R with M query syntax
  • Data importation and transfer protocols
  • Methods for pivoting and unpivoting data structures
  • Techniques for transposing and joining data tables
  • Best practices for leveraging advanced functionalities

Advanced Data Modeling

  • Management of tables and dimensional structures
  • Determination of appropriate data granularity
  • Configuration of relationships and cardinality constraints
  • Development of measures using DAX
  • Optimization of data models for enhanced performance
  • Resolution of common modeling discrepancies

Advanced Rules and Calculations using DAX

  • Creation of calculated tables via formulaic expressions
  • Implementation of conditional logic functions
  • Filtering mechanisms across multiple tables
  • Handling disconnected table relationships
  • Application of variables within DAX expressions
  • Understanding and managing calculation and filtering contexts
  • Development of dynamic measures

Advanced Visualizations, Reports, and Dashboards

  • Overview of available visualization types in Power BI
  • Customization of visual elements
  • Development of geographic map visualizations
  • Generation of custom visuals using R
  • Utilization of filters and slicers within reports
  • Enhancement of visual components for reporting clarity
  • Establishment of automated workflows via Power Automate
  • Implementation of Question-and-Answer (Q&A) visuals
  • Optimization of dashboards for mobile device compatibility
  • Guidelines for designing effective dashboard layouts

Working with Embedded Analytics in Power BI

  • Configuration of the analytics development environment
  • Exploration of Power BI REST APIs and client-side APIs
  • Practical examples and application use cases

Troubleshooting

Summary and Next Steps

Requirements

  • Proficiency in Microsoft Power BI
  • Competence in the DAX expression language

Target Participants

  • Business analysts
  • Data analysts
  • Software developers

Client satisfaction rates for government applications stand at 96%.

 21 Hours

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