Mode

Physical or Online (Instructor-Led Training + Hands-On Projects)

Target Audience

  • Business analysts, data professionals, and finance personnel
  • Intermediate Power BI users seeking to advance into automation, AI, and Python integration
  • Teams seeking to build advanced reporting capabilities within their organizations

 

Session Overview

This two-day hands-on training is designed to upskill professionals with advanced Power BI tools and techniques. Participants will explore complex data modeling, DAX filters and measures, Python integration, and AI-driven insights, framed around real-world business scenarios.

Course Overview

Learning Objectives

By the end of this program, participants will be able to:

  • Build cutting-edge, interactive dashboards with dynamic elements
  • Apply advanced DAX functions for custom measures and analytical precision
  • Integrate and automate visuals using Python scripting
  • Enhance user experience with custom templates, themes, and navigation tools
  • Apply AI elements and machine learning logic within Power BI
  • Implement scalable business reporting solutions using advanced slicing and filtering techniques

 

Training Methodology

  • Scenario-Based Learning: Practical use cases to apply advanced techniques
  • Hands-On Projects: End-to-end dashboard creation with advanced functions
  • Live Demonstrations: Instructor-led walkthroughs of advanced Power BI components
  • Interactive Activities: Python coding, DAX formula labs, and design challenges
  • Group Collaboration: Peer discussion, review, and performance support
  • Post-Training Resources: Access to templates, scripts, and advanced visual assets

 

Importance of the Training Programme

  • Upskills Analysts for Strategic BI Roles: Equips learners with automation, AI, and coding skills
  • Boosts Reporting Efficiency & Intelligence: Enables organizations to convert data into action
  • Builds Future-Ready Teams: Supports in-house development of BI capabilities
  • Enables Predictive Insight Generation: Moves teams beyond historical reporting into forecasting
  • Reduces External Dependency: Empowers internal teams to manage end-to-end analytics

 

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