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Professional training course

Power BI: Data Mining and Big Data Analytics

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

  • 5 daysClassroom
  • 13Upcoming dates
  • 8Cities
  • £2,840Fees from

Course overview

Course Introduction

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

Training Methodology

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.

Who should Attend?

This training course is suitable to a wide range of professionals but will greatly benefit:

  • 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


Course outline

  1. 1Day One: Introduction to Big Data and Power BI Essentials
    • Understanding big data and its applications in business
    • Overview of Power BI and its relevance to big data analytics
    • Connecting to large data sources and managing data ingestion (SQL, Hadoop, Azure, etc.)
    • Introduction to Power Query for data transformation and cleansing
    • Hands-on: Loading and preparing a large dataset in Power BI
  2. 2Day Two: Data Modeling and Advanced Data Mining Techniques
    • Building efficient data models to handle large datasets
    • Introduction to data mining concepts: classification, clustering, and association
    • Using DAX (Data Analysis Expressions) for calculated fields and complex measures
    • Applying data mining techniques with DAX in Power BI
    • Hands-on: Creating data models and applying DAX for data mining
  3. 3Day Three: Data Visualization and Identifying Patterns in Big Data
    • Exploring visualizations optimized for big data in Power BI
    • Using Power BI visuals to identify trends, patterns, and anomalies
    • Interactive dashboards and drill-down features for big data insights
    • Advanced visual techniques for clustering, classification, and segmentation
    • Hands-on: Building a big data dashboard with advanced visualizations
  4. 4Day Four: Advanced Analytics and AI Integration in Power BI
    • Introduction to AI features in Power BI for predictive analysis and forecasting
    • Leveraging the Key Influencers visual to detect trends and factors impacting outcomes
    • Using Power BI’s Q&A and AI-driven clustering to enhance data mining
    • Applying machine learning models and integrating Azure Machine Learning with Power BI
    • Hands-on: Implementing AI-powered analytics and predictive insights in Power BI
  5. 5Day Five: Optimizing, Publishing, and Sharing Big Data Insights
    • Optimizing big data reports and dashboards for performance and accessibility
    • Publishing and securely sharing Power BI dashboards with stakeholders
    • Integrating Power BI reports with Microsoft Teams and SharePoint for collaboration
    • Case studies: Real-world applications of big data analytics using Power BI
    • Final Hands-on Project: Creating and presenting a comprehensive big data analytics dashboard

Schedule

Dates and fees

13 upcoming dates in 8 cities. Fees are per delegate; bring colleagues and every seat is discounted.

All dates as PDF
December 2026
14DEC 14 - 18 Dec 2026Mon to Fri · 5 daysNext session
France flag ParisFrance · Classroom
£4,500per delegate2+ people: £3,600 each
January 2027
18JAN 18 - 22 Jan 2027Mon to Fri · 5 days
Germany flag MunichGermany · Classroom
£4,250per delegate2+ people: £3,400 each
February 2027
15FEB 15 - 19 Feb 2027Mon to Fri · 5 days
Netherlands flag AmsterdamNetherlands · Classroom
£4,250per delegate2+ people: £3,400 each
March 2027
15MAR 15 - 19 Mar 2027Mon to Fri · 5 daysOur home city
United Kingdom flag LondonUnited Kingdom · Classroom
£4,200per delegate2+ people: £3,360 each
April 2027
19APR 19 - 23 Apr 2027Mon to Fri · 5 days
Turkey flag IstanbulTurkey · Classroom
£2,850per delegate2+ people: £2,280 each
May 2027
17MAY 17 - 21 May 2027Mon to Fri · 5 days
Austria flag ViennaAustria · Classroom
£4,250per delegate2+ people: £3,400 each
June 2027
21JUN 21 - 25 Jun 2027Mon to Fri · 5 days
Spain flag BarcelonaSpain · Classroom
£3,850per delegate2+ people: £3,080 each
July 2027
19JUL 19 - 23 Jul 2027Mon to Fri · 5 days
South Africa flag Cape TownSouth Africa · Classroom
£2,840per delegate2+ people: £2,272 each
August 2027
16AUG 16 - 20 Aug 2027Mon to Fri · 5 days
Germany flag MunichGermany · Classroom
£4,250per delegate2+ people: £3,400 each
September 2027
20SEP 20 - 24 Sep 2027Mon to Fri · 5 days
Netherlands flag AmsterdamNetherlands · Classroom
£4,250per delegate2+ people: £3,400 each
October 2027
18OCT 18 - 22 Oct 2027Mon to Fri · 5 daysOur home city
United Kingdom flag LondonUnited Kingdom · Classroom
£4,200per delegate2+ people: £3,360 each
November 2027
15NOV 15 - 19 Nov 2027Mon to Fri · 5 days
Turkey flag IstanbulTurkey · Classroom
£2,850per delegate2+ people: £2,280 each
December 2027
20DEC 20 - 24 Dec 2027Mon to Fri · 5 days
Austria flag ViennaAustria · Classroom
£4,250per delegate2+ people: £3,400 each

Questions

Frequently asked questions

How long is the Power BI: Data Mining and Big Data Analytics course?

The course runs over 5 days of classroom training, usually Monday to Friday.

When is the next Power BI: Data Mining and Big Data Analytics course?

The next public date is 14 - 18 Dec 2026 in Paris. There are 13 upcoming dates in total.

Where is this course held?

Upcoming sessions run in Paris, Munich, Amsterdam, London, Istanbul, Vienna, Barcelona, Cape Town.

How much does the course cost?

Fees start from £2,840 per delegate, depending on the city. Fees include tuition and course materials.

Do participants receive a certificate?

Yes. Delegates who complete the course receive a London Leadership Management Innovation certificate of completion.

Can this course be delivered in-house for our team?

Yes. LLMI can tailor and deliver this course privately for your organisation at your premises or in one of our training cities.

Course information last updated 14 November 2026.

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