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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 components.
  • Data strategies for efficiency.
  • DAX language fundamentals.

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 on advanced functionalities.

Advanced Data Modeling

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

Advanced Rules and Calculations using DAX

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

Advanced Visualizations, Reports, and Dashboards

  • Visualization types in Power BI.
  • Customizing visual elements.
  • Creating Power BI maps visualization.
  • Creating Power BI visuals with R.
  • Using filters and slicers in reports.
  • Enhancing visual elements for reports.
  • Creating an automated flow with Power Automate.
  • Creating Q&A visual in reports.
  • Optimizing dashboards for mobile devices.
  • Tips for designing 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.

Audience

  • Business analysts.
  • Data analysts.
  • Developers.

96% client satisfaction rate

 21 Hours

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