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Professional training course

Power BI: Data Mining and Big Data Analytics (Digital Innovation and Transformation)

As businesses continue to produce vast amounts of data, the ability to turn this information into actionable insights ha... The outline covers Introduction to Big Data and Power BI Essentials, Data Modeling and Advanced...

  • 5 daysClassroom or online
  • 13Upcoming dates
  • 8Cities
  • €1,825Fees from
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Power BI: Data Mining and Big Data Analytics (Digital Innovation and Transformation)
Next online class Live virtual classroom 14 - 18 December 2026 · €1,815 + VAT Next classroom session Paris 14 - 18 December 2026 · €2,810 + VAT

Your week at a glance

  1. Day 1 Introduction to Big Data and Power BI Essentials
  2. Day 2 Data Modeling and Advanced Data Mining Techniques
  3. Day 3 Data Visualization and Identifying Patterns in Big Data
  4. Day 4 Advanced Analytics and AI Integration in Power BI
  5. Day 5 Optimizing, Publishing, and Sharing Big Data Insights

Choose your format and date

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

Classroom sessions

  1. 14–18 Dec 2026

    Paris

    Next date
    €2,810 + VAT
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  2. 18–22 Jan 2027

    Munich

    €2,825 + VAT
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  3. 15–19 Feb 2027

    Amsterdam

    €2,425 + VAT
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  4. 15–19 Mar 2027

    London

    €2,815 + VAT
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  5. 19–23 Apr 2027

    Istanbul

    €2,210 + VAT
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  6. 17–21 May 2027

    Vienna

    €3,225 + VAT
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  7. 21–25 Jun 2027

    Barcelona

    €2,315 + VAT
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  8. 19–23 Jul 2027

    Cape Town

    Lowest fee
    €1,825 + VAT
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  9. 16–20 Aug 2027

    Munich

    €2,825 + VAT
    Register
  10. 20–24 Sep 2027

    Amsterdam

    €2,425 + VAT
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  11. 18–22 Oct 2027

    London

    €2,815 + VAT
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  12. 15–19 Nov 2027

    Istanbul

    €2,210 + VAT
    Register
  13. 20–24 Dec 2027

    Vienna

    €3,225 + VAT
    Register

Online / Live sessions

  1. 14–18 Dec 2026

    Live virtual classroom

    Next date
    €1,815 + VAT
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  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

As businesses continue to produce vast amounts of data, the ability to turn this information into actionable insights has become a key competitive advantage.

Data mining and big data analytics provide organizations with the tools to identify patterns, forecast trends, and make data-driven decisions that fuel growth and efficiency.

This Power BI: Data Mining and Big Data Analytics course is designed to help professionals master the skills needed to leverage big data within Microsoft Power BI, one of the most powerful and accessible tools for business intelligence and data analysis.

Throughout the course, participants will learn how to import, process, and analyze large datasets, apply advanced data mining techniques, and visualize complex data to uncover key patterns and relationships. Additionally, the course covers how to integrate predictive analytics using AI-powered features in Power BI. With a focus on hands-on learning, this training is ideal for data analysts, business intelligence experts, and decision-makers looking to extract valuable insights from big data and apply them in practical business contexts.

By the end of the course, attendees will be equipped to tackle big data challenges, use advanced DAX functions for tailored analytics, and create visually impactful dashboards that communicate insights for strategic decision-making.

This course empowers participants to not only interpret large datasets but also to drive data-centric initiatives that turn data into a valuable asset for their organizations.

The training course will feature

An overview of data mining and big data analytics in today’s data-driven world

Understanding how Power BI can be used to analyze large datasets

Clear course objectives and expected outcomes for participants

Training Objectives

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

Equip participants with skills to process, visualize, and analyze large datasets using Power BI

Understand data mining techniques and how they can be applied in Power BI

Teach best practices for handling big data, from importing to transforming and visualizing

Enable participants to use advanced analytics features, including predictive analytics and clustering

Develop the ability to identify patterns, trends, and insights from large datasets

View full course outline

Who should attend

Target audience

  • Data analysts, business intelligence professionals, and IT specialists interested in big data analysis
  • Business managers and decision-makers seeking to leverage big data insights for strategic planning
  • Professionals in marketing, finance, operations, and research fields aiming to apply data mining techniques

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 theoretical presentation of the concepts, but the emphasis will be on the exercises performed by the delegates with the guidance of the instructor. The delegates will be “learning by doing” as the training course is designed for them to use the software on the real problems and real data applying each of the techniques themselves. Delivery will be by presentation, group syndicate investigations, training e-manual and interactive seminars, as well as group discussion on the results of the exercises.

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

Introduction to Big Data and Power BI Essentials

  1. Understanding big data and its applications in business
  2. Overview of Power BI and its relevance to big data analytics
  3. Connecting to large data sources and managing data ingestion (SQL, Hadoop, Azure, etc.)
  4. Coffee break
  5. Connecting to large data sources and managing data ingestion (SQL, Hadoop, Azure, etc.) (continued)
  6. Introduction to Power Query for data transformation and cleansing
  7. Hands-on: Loading and preparing a large dataset in Power BI

Day 2

Data Modeling and Advanced Data Mining Techniques

  1. Building efficient data models to handle large datasets
  2. Introduction to data mining concepts: classification, clustering, and association
  3. Using DAX (Data Analysis Expressions) for calculated fields and complex measures
  4. Coffee break
  5. Using DAX (Data Analysis Expressions) for calculated fields and complex measures (continued)
  6. Applying data mining techniques with DAX in Power BI
  7. Hands-on: Creating data models and applying DAX for data mining

Day 3

Data Visualization and Identifying Patterns in Big Data

  1. Exploring visualizations optimized for big data in Power BI
  2. Using Power BI visuals to identify trends, patterns, and anomalies
  3. Interactive dashboards and drill-down features for big data insights
  4. Coffee break
  5. Interactive dashboards and drill-down features for big data insights (continued)
  6. Advanced visual techniques for clustering, classification, and segmentation
  7. Hands-on: Building a big data dashboard with advanced visualizations

Day 4

Advanced Analytics and AI Integration in Power BI

  1. Introduction to AI features in Power BI for predictive analysis and forecasting
  2. Leveraging the Key Influencers visual to detect trends and factors impacting outcomes
  3. Using Power BI’s Q&A and AI-driven clustering to enhance data mining
  4. Coffee break
  5. Using Power BI’s Q&A and AI-driven clustering to enhance data mining (continued)
  6. Applying machine learning models and integrating Azure Machine Learning with Power BI
  7. Hands-on: Implementing AI-powered analytics and predictive insights in Power BI

Day 5

Optimizing, Publishing, and Sharing Big Data Insights

  1. Optimizing big data reports and dashboards for performance and accessibility
  2. Publishing and securely sharing Power BI dashboards with stakeholders
  3. Integrating Power BI reports with Microsoft Teams and SharePoint for collaboration
  4. Case studies: Real-world applications of big data analytics using Power BI
  5. Coffee break
  6. Case studies: Real-world applications of big data analytics using Power BI (continued)
  7. Final Hands-on Project: Creating and presenting a comprehensive big data analytics dashboard

Ready to book?

Power BI: Data Mining and Big Data Analytics (Digital Innovation and Transformation)

Next session: 14 - 18 December 2026, Paris

Register See all dates

Course FAQs

Questions about this course

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What does Power BI: Data Mining and Big Data Analytics (Digital Innovation and Transformation) cover?

This course covers Digital Innovation and Transformation 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?

Data analysts, business intelligence professionals, and IT specialists interested in big data analysis, Business managers and decision-makers seeking to leverage big data insights for strategic planning, Professionals in marketing, finance, operations, and research fields aiming to apply data mining techniques

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 Paris, Munich, Amsterdam, London, Istanbul, Vienna, Barcelona, Cape Town.

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).