Data-driven decision-making is now essential across all industries, from engineering and construction to business and technology. This course equips participants with advanced data analysis techniques to transform raw data into meaningful insights that support strategic and operational decisions. Participants will learn how to handle complex datasets, apply statistical and analytical methods, and use modern tools to identify trends, patterns, and performance indicators. By attending, you will significantly improve your ability to support evidence-based decisions, optimize processes, and enhance organizational performance.

Course Methodology

This course combines conceptual explanations with hands-on practice using real-world datasets. Participants will engage in guided exercises, case studies, and problem-solving sessions. Practical demonstrations using analytical tools (such as Excel advanced functions, Power BI, or Python-based analysis concepts) will be included depending on the training level. Group discussions and scenario-based learning will help reinforce applied analytical thinking.

Course Objectives

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

Understand advanced concepts in data analysis and interpretation
Clean, structure, and prepare complex datasets for analysis
Apply statistical methods for decision-making
Identify trends, correlations, and patterns in data
Use data visualization techniques to communicate insights effectively
Apply predictive and descriptive analytics techniques
Improve reporting and business intelligence capabilities
Support data-driven strategic decisions

Target Audience

Data Analysts and Business Analysts
Engineers and Technical Professionals
Project and Operations Managers
Financial Analysts and Consultants
IT Professionals working with data systems
Decision-makers seeking analytical skills

Target Competencies

Data interpretation and critical thinking
Statistical analysis and modeling
Data cleaning and preparation
Data visualization and reporting
Analytical problem-solving
Business intelligence understanding
Decision support using data insights

Benefits

Why attend this seminar

Build current, practical knowledge in data management and business intelligence.
Translate the course ideas into actions you can use immediately at work.
Review real schedule options across 12 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 data management and business intelligence.
Managers, specialists, and team leads who need applied skills.
Participants looking for a focused route into Advanced Data Analysis Techniques.

Seminar details

Detailed outline

Day 1: Foundations of Advanced Data Analysis

Role of data analysis in decision-making
Types of data and data structures
Data lifecycle: collection, processing, analysis
Introduction to descriptive and inferential analytics
Overview of analytical tools and environments

Day 2: Data Preparation and Transformation

Data cleaning techniques and error handling
Handling missing data and outliers
Data normalization and transformation methods
Data integration from multiple sources
Building structured datasets for analysis

Day 3: Statistical Analysis and Interpretation

Descriptive statistics and summary measures
Probability concepts in data analysis
Correlation and regression analysis
Hypothesis testing fundamentals
Interpretation of statistical outputs

Day 4: Data Visualization and Insights

Principles of effective data visualization
Charts, dashboards, and reporting techniques
Storytelling with data
KPI tracking and performance dashboards
Introduction to BI tools (e.g., Power BI concepts)

Day 5: Predictive Analytics and Practical Applications

Introduction to predictive modeling concepts
Trend analysis and forecasting techniques
Decision-making using analytical models
Case studies from real-world industries
Final project: end-to-end data analysis exercise

Dates and locations

Available seminar dates

8 dates

Date	Duration	Price
18 - 22 May 2026	5 Days	€4,250.-	Book now
22 - 26 June 2026	5 Days	€4,200.-	Book now
13 - 17 July 2026	5 Days	€3,450.-	Book now
17 - 21 August 2026	5 Days	€3,850.-	Book now
21 - 25 September 2026	5 Days	€4,250.-	Book now
19 - 23 October 2026	5 Days	€3,450.-	Book now
2 - 6 November 2026	5 Days	€4,200.-	Book now
21 - 25 December 2026	5 Days	€3,850.-	Book now

Date	Duration	Price
18 - 22 May 2026	5 Days	€1,850.-	Book now
22 - 26 June 2026	5 Days	€1,850.-	Book now
13 - 17 July 2026	5 Days	€1,850.-	Book now
17 - 21 August 2026	5 Days	€1,850.-	Book now
21 - 25 September 2026	5 Days	€1,850.-	Book now
19 - 23 October 2026	5 Days	€1,850.-	Book now
2 - 6 November 2026	5 Days	€1,850.-	Book now
21 - 25 December 2026	5 Days	€1,850.-	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 Advanced Data Analysis Techniques.
The certificate recognises attendance and successful participation in the seminar.
It can support professional development records within data management and business intelligence and related functions.

Verify a certificate

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 Advanced Data Analysis Techniques made the topic practical and easy to apply immediately.

Course participant

Data Management and Business Intelligence

“

The venue and date options made planning the right session straightforward.

Seminar attendee

Amsterdam - Netherlands

“

Clear content, relevant examples, and useful follow-up topics for the next training step.

Learning manager

Professional development

Advanced Data Analysis Techniques

Venue Amsterdam - Netherlands

Date 18 - 22 May 2026

Benefits at a glance

Build current, practical knowledge in data management and business intelligence.
Translate the course ideas into actions you can use immediately at work.
Review real schedule options across 12 venues and live dates.

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