Mode

Physical or Online (Instructor-Led Training with Hands-On Practice)

Target Audience

  • Beginners with no prior experience in Power BI
  • Business users, executives, and analysts starting with self-service BI
  • Non-technical professionals aiming to create data visualizations and dashboards

 

Session Overview

This beginner-level course lays the foundation for using Power BI to analyze and visualize data. Participants will learn how to connect to datasets, perform basic data modeling, and design insightful dashboards. Through structured hands-on activities, participants will build confidence in navigating Power BI and delivering visual reports tailored to organizational needs.

Course Overview

Learning Objectives

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

  • Understand the basics of Power BI and self-service BI
  • Connect and prepare data for analysis
  • Build informative and interactive dashboards
  • Apply different types of visualizations for clear data storytelling
  • Use slicers, filters, and drill-throughs for better analysis
  • Normalize and model data for meaningful reporting
  • Use “Quick Insights” to discover trends
  • Create dashboards optimized for desktop and mobile use

 

Training Methodology

  • Step-by-Step Demonstrations: Live walkthroughs of Power BI functions
  • Hands-On Practice: Participants build dashboards in real time
  • Simplified Explanations: Concepts made easy through analogies and visuals
  • Beginner-Friendly Projects: Practical, low-complexity data exercises
  • Interactive Q&A: Instructor and peer engagement throughout the session
  • Template-Based Learning: Reusable dashboards and layout samples provided

 

Importance of the Training Programme

  • Establishes BI Literacy: Prepares teams for a data-driven workplace
  • Empowers Non-Technical Staff: Makes data analysis accessible and intuitive
  • Improves Reporting Efficiency: Automates dashboard creation and maintenance
  • Enhances Business Visibility: Enables real-time tracking of KPIs
  • Drives Informed Decision-Making: Helps convert data into actionable insights
  • Supports Digital Transformation Goals: Promotes data democratization and agility

 

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