Microsoft Power BI: Data Analysis & AI Dashboards

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Online sessions

Course Introduction

In today’s data-driven business environment, the ability to analyze information quickly and accurately is a major competitive advantage. The Microsoft Power BI: Data Analysis & AI Dashboards training course equips professionals with the skills needed to transform raw data into meaningful insights using Microsoft Power BI.

This course focuses on empowering participants to work confidently with complex datasets through advanced data loading, cleaning, transformation, and visualization techniques. It also highlights the creation of intelligent dashboards that deliver real-time analytics and predictive insights by leveraging Power BI’s AI capabilities.

Participants will gain practical experience in:

  • Building interactive dashboards for performance tracking and decision support
  • Using DAX for advanced calculations and data modeling
  • Applying AI visuals and automated forecasting for predictive analytics
  • Creating visually compelling reports for business storytelling
  • Producing dashboards that reveal trends, patterns, and key business drivers

By the end of the course, attendees will be ready to use Power BI to support strategic decision-making and drive innovation across their organization.

Objectives

By the end of this Microsoft Power BI training course, participants will be able to:

  • Connect to multiple data sources and prepare datasets for analysis using Power BI tools
  • Clean and transform data effectively with Power Query Editor
  • Design dynamic dashboards that support strong data storytelling and insights
  • Apply advanced data modeling techniques using DAX functions
  • Use AI and machine learning features for predictive analytics and trend forecasting
  • Create interactive reports that enable real-time decision-making and business intelligence

Training Methodology

This Microsoft Power BI training course uses a highly interactive learning approach that blends instructor-led sessions with hands-on exercises and group discussions. Each module is designed to help participants apply concepts directly to real business scenarios, ensuring learning is practical and immediately usable.

Participants will work with real-world datasets and case-based examples to develop technical proficiency and business-focused analytical skills. The training emphasizes active engagement with the Power BI platform, enabling attendees to build, refine, and present dashboards throughout the course.

By combining theoretical learning with practical application, the course ensures participants can confidently deliver data-driven reports and AI-enhanced dashboards in their professional roles.

Who Should Attend?

This Microsoft Power BI course is ideal for professionals who want to enhance their data analysis, reporting, and visualization skills. It is especially useful for those who need to translate complex datasets into clear business insights and improve decision-making through analytics.

This course is recommended for:

  • Business analysts and data professionals focused on reporting accuracy
  • Department managers and leaders seeking real-time business intelligence
  • Finance, operations, marketing, and sales teams working with KPIs
  • IT and digital transformation professionals implementing analytics and AI
  • Professionals aiming to develop AI dashboards for predictive insights

Course Outline

Day 1: Fundamentals of Power BI and Data Loading

  • Introduction to Power BI interface and functionalities
  • Connecting to various data sources (databases, cloud, Excel, etc.)
  • Data loading, cleaning, and transformation with Power Query Editor
  • Hands-on: Setting up and loading data for analysis

Day 2: Data Modeling and DAX for Data Analysis

  • Overview of data modeling in Power BI for efficient reporting
  • Introduction to DAX (Data Analysis Expressions) for calculations and custom measures
  • Using DAX to create calculated columns, measures, and more complex formulas
  • Hands-on: Building a data model and using DAX for data analysis

Day 3: Designing Dashboards for Data Analysis

  • Principles of effective data visualization for business insights
  • Creating dynamic and interactive dashboards with visuals (charts, KPIs, tables)
  • Adding drill-throughs, tooltips, and interactive slicers for user experience
  • Best practices in dashboard design for clear and concise data storytelling
  • Hands-on: Designing a data analysis dashboard with Power BI visuals

Day 4: Integrating AI and Machine Learning in Power BI

  • Overview of AI features in Power BI: Q&A visual, AI visuals, and Cognitive Services
  • Using the Key Influencers visual to analyze factors impacting outcomes
  • AI-driven clustering and segmentation of data for deeper insights
  • Applying forecasting models and time-series analysis
  • Hands-on: Creating AI-driven visuals to identify patterns and insights

Day 5: Advanced Reporting and Publishing AI Dashboards

  • Integrating Power BI dashboards with Microsoft Teams and SharePoint
  • Publishing and sharing dashboards securely in Power BI Service
  • Optimizing dashboards for performance and mobile access
  • Final hands-on project: Creating an AI-powered dashboard to demonstrate business insights
  • Course wrap-up and Q&A

Certificate

  • COPEX Certificate of Attendance will be provided to delegates who attend and complete the course

Material published by Copex shown here is copyrighted. All rights reserved. Any unauthorized copying, distribution, use, dissemination, downloading, storing (in any medium), transmission, reproduction or reliance in whole or any part of this course outline is prohibited and will constitute an infringement of copyright.

Whats Makes Copex Courses Unique?

COPEX Training is your gateway to professional growth, with over 20 years of experience turning potential into success. Each year, we deliver over 1,000 courses in 50+ countries, earning a stellar 98% satisfaction rate. Trusted by global giants like BP, the United Nations, and HSBC, we partner with top certification bodies to provide career-focused training that empowers individuals and drives organizational breakthroughs. Our mission? To transform the way professionals learn and grow in today’s fast-changing industries. Through expert insights, cutting-edge methods, and hands-on approaches, we equip you with the skills and confidence to tackle challenges, seize opportunities, and thrive in your career.

Led by a passionate leadership team and supported by a network of world-class trainers, COPEX Training connects professionals worldwide with life-changing opportunities. We are committed to excellence, ensuring every participant leaves with the tools, expertise, and confidence to conquer an ever-evolving world.

Related Categories

Digital Transformation Big Data Analytics & Data Science Research Methods and Analytics

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Our cancellation policy varies depending on the circumstances presented. Generally, cancellations must be initiated in formal writing at least 14 days prior to the commencement date of the training course. Further, the option to shift an existing registration to another training course on a later date is possible. Otherwise, a full refund will be initiated.

Our training courses courses are being held at five-star hotels in prime and iconic destinations across the globe. Cities such as Amsterdam, Barcelona, Dubai, Geneva, Istanbul, Kuala Lumpur, London, Houston, New York, Paris, Vienna, Zurich, etc.

Our training courses will run for 5 hours per day. The standard daily timing is from 8:30 am – 3:30 pm including the coffee/tea breaks and lunch.

The training course fee can be settled by either:

  • Bank transfer
  • Credit Card

Published training course fees are inclusive of the training venue, training manual, writing materials, lunch and coffee breaks with refreshments over the entire duration of the training course.

Upon successful registration, processing window will take not more than 24 hours from the time of registration. An email including the registration confirmation, invoice and joining instructions will be sent to the provided email address.

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