Course details
Seminar content
What you will learn
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
Benefits
Why attend this seminar
- Build current, practical knowledge in digital innovation and transformation.
- Translate the course ideas into actions you can use immediately at work.
- Review real schedule options across 10 venues and live dates.
- Connect course detail, venue, and category routes in one workflow.
Methodology
How the course is delivered
- Structured seminar input and guided discussion.
- Applied examples using current business situations.
- Focused explanations based on the stored overview and outline.
- Clear next steps for implementation after the course.
Target audience
Who this is for
- Professionals responsible for digital innovation and transformation.
- Managers, specialists, and team leads who need applied skills.
- Participants looking for a focused route into Power BI: Data Mining and Big Data Analytics.
Seminar details
Detailed outline
Day 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
Day 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
Day 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
Day 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
Day 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
Dates and locations
Available seminar dates
| Date | City | Duration | Price | |
|---|---|---|---|---|
| 20 - 24 April 2026 | London - U.K | 5 Days | €4,200.- | Book now |
| 4 - 8 May 2026 | Rome - Italy | 5 Days | €4,250.- | Book now |
| 15 - 19 June 2026 | Munich - Germany | 5 Days | €3,450.- | Book now |
| 20 - 24 July 2026 | Amsterdam - Netherlands | 5 Days | €4,250.- | Book now |
| 3 - 7 August 2026 | London - U.K | 5 Days | €4,200.- | Book now |
| 7 - 11 September 2026 | Istanbul - Turkey | 5 Days | €2,850.- | Book now |
| 12 - 16 October 2026 | Vienna - Austria | 5 Days | €4,250.- | Book now |
| 9 - 13 November 2026 | Barcelona - Spain | 5 Days | €3,850.- | Book now |
| 14 - 18 December 2026 | Paris - France | 5 Days | €4,500.- | Book now |
| Date | Duration | Price | |
|---|---|---|---|
| 20 - 24 April 2026 | 5 Days | €2,250.- | Book now |
| 4 - 8 May 2026 | 5 Days | €2,250.- | Book now |
| 15 - 19 June 2026 | 5 Days | €2,250.- | Book now |
| 20 - 24 July 2026 | 5 Days | €2,250.- | Book now |
| 3 - 7 August 2026 | 5 Days | €2,250.- | Book now |
| 7 - 11 September 2026 | 5 Days | €2,250.- | Book now |
| 12 - 16 October 2026 | 5 Days | €2,250.- | Book now |
| 9 - 13 November 2026 | 5 Days | €2,250.- | Book now |
| 14 - 18 December 2026 | 5 Days | €2,250.- | Book now |
Course certificate
Certificate awarded on completion
Every participant who completes this seminar receives a professional course certificate from INFORAMTECH.
- Participants receive an INFORAMTECH certificate for completing Power BI: Data Mining and Big Data Analytics.
- The certificate recognises attendance and successful participation in the seminar.
- It can support professional development records within digital innovation and transformation and related functions.
Information about
Frequently asked questions
When is my seat confirmed?
Your seat is confirmed once full payment has been received.
Do you offer group discounts?
Yes, we offer the following discounts for group bookings:
- 2 participants: 20% discount
- 3 participants: 35% discount
- 5 or more participants: 50% discount
Can discounts be combined with other offers?
No, discounts cannot be combined unless explicitly stated.
What payment methods do you accept?
We accept bank transfers, credit/debit cards, and selected online payment methods.
When do I need to pay?
Full payment must be completed before the course start date to secure your participation.
Is VAT included in the course fee?
VAT treatment depends on your location and status:
- EU Companies (with valid VAT number): VAT may be reverse charged (0%)
- EU Individuals (without VAT number): VAT is applicable based on local regulations
- Non-EU Participants: VAT is generally not applicable (0%)
Can I get a VAT invoice?
Yes, all participants receive an official invoice. EU companies must provide a valid VAT number.
Can I cancel my registration?
Yes, cancellations must be submitted in writing.
What is your refund policy?
- More than 14 days before the course: Full refund
- 7-14 days before the course: 50% refund
- Less than 7 days before the course: No refund
Can I transfer my seat to another person?
Yes, substitutions are allowed at no extra cost if requested before the course start date.
What happens if the course is postponed or canceled?
We reserve the right to reschedule or cancel a course due to unforeseen circumstances. In such cases, you may:
- Transfer to another date
- Receive full refund
Will I receive a certificate?
Yes, all participants will receive a certificate of completion after attending the course.
Is attendance mandatory?
Yes, full attendance is required to receive certification.
Are your courses online or in-person?
We offer both in-person and virtual (live online) training options.
Will course materials be provided?
Yes, all participants receive training materials in digital format.
Are travel and accommodation included?
No, participants are responsible for their own travel and accommodation unless otherwise stated.
Can you deliver customized or in-house training?
Yes, we offer tailored training programs based on your organization's needs.
How can I contact you for support?
You can reach us via email info@inforamtech.uk or through our contact form. Our team will respond promptly.
Testimonials
The structure of Power BI: Data Mining and Big Data Analytics made the topic practical and easy to apply immediately.
The venue and date options made planning the right session straightforward.
Clear content, relevant examples, and useful follow-up topics for the next training step.
Related courses
Course
The Complete Course on Data Science & Big Data Analytics
Course
Data Analysis and Reporting Techniques
Course
Fundamentals of Artificial Intelligence (AI)
Course