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Course Outline

Introduction

  • Overview of Power BI features and architecture
  • Advanced tools and data analysis in Power BI

Getting Started

  • Installing Power BI and other essential components
  • Strategies for efficient data management
  • Fundamentals of the DAX language

Managing Data

  • Querying and aggregating data
  • R integration and M query
  • Importing and transferring data
  • Pivoting and unpivoting data
  • Transposing and joining data tables
  • Tips and tricks for advanced functionalities

Advanced Data Modeling

  • Working with tables and dimensions
  • Defining data granularity
  • Managing relationships and cardinality
  • Creating measures using DAX
  • Optimizing models for performance
  • Resolving common modeling issues

Advanced Rules and Calculations using DAX

  • Creating tables using formulas
  • Applying conditional functions
  • Filtering multiple tables
  • Working with disconnected tables
  • Utilizing variables in DAX
  • Calculating and filtering context
  • Working with dynamic measures

Advanced Visualizations, Reports, and Dashboards

  • Exploring visualization types in Power BI
  • Customizing visual elements
  • Creating map visualizations in Power BI
  • Generating Power BI visuals with R
  • Utilizing filters and slicers in reports
  • Enhancing visual elements for reports
  • Creating automated flows with Power Automate
  • Implementing Q&A visuals in reports
  • Optimizing dashboards for mobile devices
  • Design principles for effective dashboards

Working with Embedded Analytics in Power BI

  • Setting up the analytics environment
  • Exploring Power BI REST APIs and client APIs
  • Practical examples and use cases

Troubleshooting

Summary and Next Steps

Requirements

  • Experience with Power BI
  • Familiarity with the DAX language

Target Audience

  • Business analysts
  • Data analysts
  • Developers

96% client satisfaction rate

 21 Hours

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