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Professional training course

Microsoft Power BI: Data Analysis & AI Dashboards

In today’s data-driven world, organizations must adapt to harness the power of data for informed decision-making. The outline covers Fundamentals of Power BI and Data Loading, Data Modeling and DAX for Data Analysis, Des...

  • 5 daysClassroom or online
  • 13Upcoming dates
  • 6Cities
  • €2,125Fees from
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Microsoft Power BI: Data Analysis & AI Dashboards
Next online class Live virtual classroom 14 - 18 December 2026 · €1,815 + VAT Next classroom session Munich 14 - 18 December 2026 · €2,825 + VAT

Your week at a glance

  1. Day 1 Fundamentals of Power BI and Data Loading
  2. Day 2 Data Modeling and DAX for Data Analysis
  3. Day 3 Designing Dashboards for Data Analysis
  4. Day 4 Integrating AI and Machine Learning in Power BI
  5. Day 5 Advanced Reporting and Publishing AI Dashboards

Choose your format and date

  • 5 days
  • 09:00–14:00
  • Certificate of attendance

Classroom sessions

  1. 14–18 Dec 2026

    Munich

    Next date
    €2,825 + VAT
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  2. 18–22 Jan 2027

    Barcelona

    €2,315 + VAT
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  3. 15–19 Feb 2027

    Frankfurt

    €2,275 + VAT
    Register
  4. 15–19 Mar 2027

    Rome

    €2,430 + VAT
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  5. 19–23 Apr 2027

    Kuala Lumpur

    Lowest fee
    €2,125 + VAT
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  6. 17–21 May 2027

    Barcelona

    €2,315 + VAT
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  7. 21–25 Jun 2027

    London

    €2,815 + VAT
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  8. 19–23 Jul 2027

    Munich

    €2,825 + VAT
    Register
  9. 16–20 Aug 2027

    Barcelona

    €2,315 + VAT
    Register
  10. 20–24 Sep 2027

    Frankfurt

    €2,275 + VAT
    Register
  11. 18–22 Oct 2027

    Rome

    €2,430 + VAT
    Register
  12. 15–19 Nov 2027

    Kuala Lumpur

    Lowest fee
    €2,125 + VAT
    Register
  13. 20–24 Dec 2027

    Barcelona

    €2,315 + VAT
    Register

Online / Live sessions

  1. 14–18 Dec 2026

    Live virtual classroom

    Next date
    €1,815 + VAT
    Register
  2. 18–22 Jan 2027

    Live virtual classroom

    €1,815 + VAT
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  3. 15–19 Feb 2027

    Live virtual classroom

    €1,815 + VAT
    Register
  4. 15–19 Mar 2027

    Live virtual classroom

    €1,815 + VAT
    Register
  5. 19–23 Apr 2027

    Live virtual classroom

    €1,815 + VAT
    Register
  6. 17–21 May 2027

    Live virtual classroom

    €1,815 + VAT
    Register
  7. 21–25 Jun 2027

    Live virtual classroom

    €1,815 + VAT
    Register
  8. 19–23 Jul 2027

    Live virtual classroom

    €1,815 + VAT
    Register
  9. 16–20 Aug 2027

    Live virtual classroom

    €1,815 + VAT
    Register
  10. 20–24 Sep 2027

    Live virtual classroom

    €1,815 + VAT
    Register
  11. 18–22 Oct 2027

    Live virtual classroom

    €1,815 + VAT
    Register
  12. 15–19 Nov 2027

    Live virtual classroom

    €1,815 + VAT
    Register
  13. 20–24 Dec 2027

    Live virtual classroom

    €1,815 + VAT
    Register

Introduction

Course overview

In today’s data-driven world, organizations must adapt to harness the power of data for informed decision-making. Power BI, a leading business intelligence tool, enables users to convert raw data into valuable insights, empowering decision-makers to make strategic choices. The Microsoft Power BI: Data Analysis & AI Dashboards training course goes beyond the basics, exploring advanced data analytics and AI integration to elevate reporting. Participants will learn how to use Power BI’s powerful features for data loading, transformation, and visualization, enabling them to design dashboards that offer clear insights into business performance, opportunities, and challenges.

The course focuses on leveraging AI to generate predictive insights and identify hidden patterns, equipping professionals with the tools to forecast trends and understand the factors driving business outcomes.

Throughout the program, attendees will gain hands-on experience with advanced DAX calculations, AI-driven visuals, and automated forecasting to build interactive, real-time dashboards that support key decision-making.

By mastering these skills, participants will be well-equipped to lead strategic initiatives and foster a culture of data-driven innovation within their organizations.

This course is ideal for business analysts, data professionals, and leaders looking to enhance their reporting capabilities and use data as a strategic asset in today’s complex business landscape.

Training Objectives

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

Learn to use Power BI to connect, clean, and transform business data

Develop skills to create dynamic dashboards and reports for in-depth data analysis

Understand AI and machine learning capabilities in Power BI

Utilize advanced data modeling and visualization techniques for effective storytelling

Gain the ability to apply AI-powered analytics to identify trends, forecasts, and patterns

View full course outline

Who should attend

Target audience

  • Business analysts, data professionals, and managers seeking to leverage Power BI and AI for data insights
  • Executives and decision-makers looking to enhance their understanding of data-driven dashboards
  • Professionals in finance, marketing, sales, and operations aiming to integrate AI-driven analytics into their reporting

Methodology

Learning approach

  • This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.

Complete course outline

Five focused days of learning and application

The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.

Day 1

Fundamentals of Power BI and Data Loading

  1. Introduction to Power BI interface and functionalities
  2. Connecting to various data sources (databases, cloud, Excel, etc.)
  3. Data loading, cleaning, and transformation with Power Query Editor
  4. Coffee break
  5. Data loading, cleaning, and transformation with Power Query Editor (continued)
  6. Hands-on: Setting up and loading data for analysis

Day 2

Data Modeling and DAX for Data Analysis

  1. Overview of data modeling in Power BI for efficient reporting
  2. Introduction to DAX (Data Analysis Expressions) for calculations and custom measures
  3. Using DAX to create calculated columns, measures, and more complex formulas
  4. Coffee break
  5. Using DAX to create calculated columns, measures, and more complex formulas (continued)
  6. Hands-on: Building a data model and using DAX for data analysis

Day 3

Designing Dashboards for Data Analysis

  1. Principles of effective data visualization for business insights
  2. Creating dynamic and interactive dashboards with visuals (charts, KPIs, tables)
  3. Adding drill-throughs, tooltips, and interactive slicers for user experience
  4. Best practices in dashboard design for clear and concise data storytelling
  5. Coffee break
  6. Best practices in dashboard design for clear and concise data storytelling (continued)
  7. Hands-on: Designing a data analysis dashboard with Power BI visuals

Day 4

Integrating AI and Machine Learning in Power BI

  1. Overview of AI features in Power BI: Q&A visual, AI visuals, and Cognitive Services
  2. Using the Key Influencers visual to analyze factors impacting outcomes
  3. AI-driven clustering and segmentation of data for deeper insights
  4. Coffee break
  5. AI-driven clustering and segmentation of data for deeper insights (continued)
  6. Applying forecasting models and time-series analysis
  7. Hands-on: Creating AI-driven visuals to identify patterns and insights

Day 5

Advanced Reporting and Publishing AI Dashboards

  1. Integrating Power BI dashboards with Microsoft Teams and SharePoint
  2. Publishing and sharing dashboards securely in Power BI Service
  3. Optimizing dashboards for performance and mobile access
  4. Coffee break
  5. Optimizing dashboards for performance and mobile access (continued)
  6. Final hands-on project: Creating an AI-powered dashboard to demonstrate business insights
  7. Course wrap-up and Q&A

Ready to book?

Microsoft Power BI: Data Analysis & AI Dashboards

Next session: 14 - 18 December 2026, Munich

Register See all dates

Course FAQs

Questions about this course

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What does Microsoft Power BI: Data Analysis & AI Dashboards cover?

This course covers IT Management and Cyber Security through a structured five-day outline focused on practical application, discussion, and implementation planning.

When is the next available session?

The next scheduled session starts on 14 - 18 December 2026. See the course schedules section for the available dates and delivery formats.

Who should attend this course?

Business analysts, data professionals, and managers seeking to leverage Power BI and AI for data insights, Executives and decision-makers looking to enhance their understanding of data-driven dashboards, Professionals in finance, marketing, sales, and operations aiming to integrate AI-driven analytics into their reporting

Is bilingual course delivery available?

Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.

How can I register for a session?

Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.

Is this course available online as well as classroom-based?

Check the course schedules section for currently published classroom and Online / Live sessions.

Where are classroom sessions delivered?

Current classroom venues include Munich, Barcelona, Frankfurt, Rome, Kuala lumpur, London.

How long is the training programme?

The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).