Course details
Course details
Seminar content
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
By the end of this training course, participants will be able to:
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.
This training course is suitable to a wide range of professionals but will greatly benefit:
Benefits
Methodology
Target audience
Seminar details
Day One: Introduction to Big Data and Power BI Essentials
Day Two: Data Modeling and Advanced Data Mining Techniques
Day Three: Data Visualization and Identifying Patterns in Big Data
Day Four: Advanced Analytics and AI Integration in Power BI
Day Five: Optimizing, Publishing, and Sharing Big Data Insights
Dates and locations
| Date | City | Duration | Price | |
|---|---|---|---|---|
| 15 - 19 June 2026 | 5 Days | €3,450.- | Book now | |
| 20 - 24 July 2026 | 5 Days | €4,250.- | Book now | |
| 3 - 7 August 2026 | 5 Days | €4,200.- | Book now | |
| 7 - 11 September 2026 | 5 Days | €2,850.- | Book now | |
| 12 - 16 October 2026 | 5 Days | €4,250.- | Book now | |
| 9 - 13 November 2026 | 5 Days | €3,850.- | Book now | |
| 14 - 18 December 2026 | 5 Days | €4,500.- | Book now | |
| 15 - 19 June 2026 | 5 Days | €4,250.- | Book now | |
| 20 - 24 July 2026 | 5 Days | €3,850.- | Book now | |
| 3 - 7 August 2026 | 5 Days | €4,500.- | Book now | |
| 7 - 11 September 2026 | 5 Days | €3,250.- | Book now | |
| 12 - 16 October 2026 | 5 Days | €3,850.- | Book now | |
| 9 - 13 November 2026 | 5 Days | €3,250.- | Book now | |
| 14 - 18 December 2026 | 5 Days | €4,250.- | Book now |
| Date | Duration | Price | |
|---|---|---|---|
| 15 - 19 June 2026 | 5 Days | €1,850.- | Book now |
| 20 - 24 July 2026 | 5 Days | €1,850.- | Book now |
| 3 - 7 August 2026 | 5 Days | €1,850.- | Book now |
| 7 - 11 September 2026 | 5 Days | €1,850.- | Book now |
| 12 - 16 October 2026 | 5 Days | €1,850.- | Book now |
| 9 - 13 November 2026 | 5 Days | €1,850.- | Book now |
| 14 - 18 December 2026 | 5 Days | €1,850.- | Book now |
| 15 - 19 June 2026 | 5 Days | €1,850.- | Book now |
| 20 - 24 July 2026 | 5 Days | €1,850.- | Book now |
| 3 - 7 August 2026 | 5 Days | €1,850.- | Book now |
| 7 - 11 September 2026 | 5 Days | €1,850.- | Book now |
| 12 - 16 October 2026 | 5 Days | €1,850.- | Book now |
| 9 - 13 November 2026 | 5 Days | €1,850.- | Book now |
| 14 - 18 December 2026 | 5 Days | €1,850.- | Book now |
Course certificate
Every participant who completes this seminar receives a professional course certificate from INFORAMTECH.
Information about
Your seat is confirmed once full payment has been received.
Yes, we offer the following discounts for group bookings:
No, discounts cannot be combined unless explicitly stated.
We accept bank transfers, credit/debit cards, and selected online payment methods.
Full payment must be completed before the course start date to secure your participation.
VAT treatment depends on your location and status:
Yes, all participants receive an official invoice. EU companies must provide a valid VAT number.
Yes, cancellations must be submitted in writing.
Yes, substitutions are allowed at no extra cost if requested before the course start date.
We reserve the right to reschedule or cancel a course due to unforeseen circumstances. In such cases, you may:
Yes, all participants will receive a certificate of completion after attending the course.
Yes, full attendance is required to receive certification.
We offer both in-person and virtual (live online) training options.
Yes, all participants receive training materials in digital format.
No, participants are responsible for their own travel and accommodation unless otherwise stated.
Yes, we offer tailored training programs based on your organization's needs.
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.
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