Get in Touch
 Duration 21 hours

Course Outline

Introduction

  • Overview of Power BI capabilities and system architecture
  • Advanced instrumentation and data analytics within Power BI

Initial Setup

  • Deployment of Power BI and associated components
  • Strategic data management for operational efficiency
  • Fundamentals of the DAX calculation language

Data Management

  • Data querying and aggregation procedures
  • R integration and M query implementation
  • Data importation and transfer protocols
  • Pivoting and unpivoting data structures
  • Transposition and joining of data tables
  • Advanced functional optimizations and best practices

Advanced Data Modeling

  • Management of tables and dimensional structures
  • Definition of data granularity standards
  • Configuration of relationships and cardinality
  • Development of measures using DAX
  • Model optimization for enhanced performance
  • Resolution of common modeling deficiencies

Advanced Rules and Calculations using DAX

  • Table creation via formulaic logic
  • Application of conditional functions
  • Filtering across multiple tables
  • Management of disconnected tables
  • Utilization of variables in DAX
  • Calculation and filtering context management
  • Implementation of dynamic measures

Advanced Visualizations, Reports, and Dashboards

  • Classification of visualization types in Power BI
  • Customization of visual components
  • Development of Power BI map visualizations
  • Integration of R for Power BI visual creation
  • Utilization of filters and slicers in reporting
  • Enhancement of visual elements for report clarity
  • Automated workflow creation with Power Automate
  • Inclusion of Q&A visuals in reports
  • Dashboard optimization for mobile accessibility
  • Design principles for effective dashboard governance

Working with Embedded Analytics in Power BI

  • Establishment of the analytics environment
  • Investigation of Power BI REST and client APIs
  • Practical applications and operational use cases

Troubleshooting

Summary and Future Actions

Requirements

  • Proficiency with Power BI
  • Familiarity with the DAX language

Target Audience

  • Business analysts
  • Data analysts
  • Developers

96% client satisfaction rating

Number of participants


Price per participant

Testimonials (5)

Upcoming Courses

Related Categories