Seminar content

What you will learn

Course Introduction

Information can come in various forms and from multiple sources. Mastering the ability to extract, model, and analyze this information can offer significant commercial advantages.

Big Data Analytics enables organizations to identify trends, refine operational procedures, and leverage insights to boost revenue and enhance client experiences.

The Complete Course on Data Science & Big Data Analytics provides a practical approach to applying data science techniques.

It covers how to determine the requirements for data science applications, the technologies available, and the analytical models suited to derive valuable insights from Big Data. This training will guide you on making sense of complex data and utilizing analytics effectively.

This training course will feature:

  • An Overview of Big Data Analytics
  • Adaptation and Approach of Lifecycles and Models
  • Methods and Models for Statistical Evaluation
  • Advance Methods and Models for Big Data Analytics
  • How To Select Appropriate Tools to Achieve the Best from Data Analytics

Training Objectives

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


  • Understand the role of Big Data for their organization
  • Appreciate when to apply Data Analytics and the Best Methods of Approach
  • Consider How to Choose Appropriate Models and Technology for Big Data
  • Learn from case study examples and use case scenarios
  • Successfully achieve results from applying best practice in Data Analytics

Who should Attend?

This training course has been designed for senior executives, technical engineers and those involved in the technology, research and statistical analysis of corporate data.

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


  • Statistical and Research Analysts
  • Key Application Development and data Research Personnel
  • Technology Engineers, CTO and CIO
  • Strategic Development Directors


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 The Complete Course on Data Science & Big Data Analytics.

Seminar details

Detailed outline

Day One: Big Data Analytics

  • Current Practices and trends in Big Data Analytics
  • Business Intelligence v Data Science
  • Analytical Architecture for Big Data
  • Roles for Big Data within the Technology and Commercial Enterprise
  • Key Drivers for Big Data Analytics
  • Case Study and Summary

Day Two: Data Analytics Models and Lifecycle

  • Data Analytics Lifecycle
  • Stage 1 - Discovery
  • Stage 2 - Preparation of Data
  • Stage 3 - Model Planning and Review
  • Stage 4 - Model Creation
  • Stage 5 - Communication Plan
  • Stage 6 - From Planning to Operation
  • Case Study and Summary

Day Three: Data Analytical Methods and Programs Overview

  • Overview of R Framework
  • Overview of Big Data Analytics
  • Exploratory Data Analysis
  • Statistical methods of Evaluation
  • Advanced Methods of Clustering
  • Advanced Theory and Methods of Association Rules
  • Advanced Theory and Methods of Regression
  • Case Study and Summary

Day Four: Advanced Theory and Methods Overview

  • Advanced Analytical Theory of Classification
  • Advanced Analytical Theory of Time Series Analysis
  • Advanced Analytical Theory of Textual Analysis
  • Technology and Tools for Advanced Data Analytics
  • Use Case and Assessment
  • Case Study and Summary

Day Five: Technology, Tools and Achieving Results

  • Unstructured Data Analytics
  • Advanced Analytical Tools in Database Analytics
  • How integrate Data Analytics
  • Current Best Practice Management and Approach for Project Delivery
  • Data Visualization Overview
  • Summary ad Case Study


Dates and locations

Available seminar dates

9 dates
Date City Duration Price
13 - 17 Apr 2026 Barcelona - Spain 5 Days €3,850.- Book now
18 - 22 May 2026 Rome - Italy 5 Days €4,250.- Book now
22 - 26 June 2026 Munich - Germany 5 Days €3,450.- Book now
13 - 17 July 2026 Amsterdam - Netherlands 5 Days €4,250.- Book now
17 - 21 August 2026 London - U.K 5 Days €4,200.- Book now
21 - 25 September 2026 Istanbul - Turkey 5 Days €2,850.- Book now
19 - 23 October 2026 Vienna - Austria 5 Days €4,250.- Book now
2 - 6 November 2026 Barcelona - Spain 5 Days €3,850.- Book now
21 - 25 December 2026 Paris - France 5 Days €4,500.- 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 The Complete Course on Data Science & 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.
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 The Complete Course on Data Science & Big Data Analytics made the topic practical and easy to apply immediately.

Course participant
Digital Innovation and Transformation

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

Seminar attendee
Barcelona - Spain

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

Learning manager
Professional development

Related courses

Power BI: Data Mining and Big Data Analytics Course
Digital Innovation and Transformation

Power BI: Data Mining and Big Data Analytics

20 - 24 April 2026London - U.K
Data Analysis and Reporting Techniques Course
Digital Innovation and Transformation

Data Analysis and Reporting Techniques

6 - 10 April 2026Frankfurt - Germany
Fundamentals of Artificial Intelligence (AI) Course
Digital Innovation and Transformation

Fundamentals of Artificial Intelligence (AI)

20 - 24 April 2026Paris - France
Certificate in Digital Transformation Course
Digital Innovation and Transformation

Certificate in Digital Transformation

13 - 17 Apr 2026Rome - Italy