Global Learning for Operational Leaders
Classroom
15 sessions
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Online / Live
15 sessions
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Introduction
Course overview
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
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
Big Data Ana lytics
- 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
- Coffee break
- Roles for Big Data within the Technology and Commercial Enterprise (continued)
- Key Drivers for Big Data Analytics
- Case Study and Summary
Day 2
Data Analytics Models and Lifecycle
- Data Analytics Lifecycle
- Stage 1 - Discovery
- Stage 2 - Preparation of Data
- Stage 3 - Model Planning and Review
- Coffee break
- Stage 4 - Model Creation
- Stage 5 - Communication Plan
- Stage 6 - From Planning to Operation
- Case Study and Summary
Day 3
Data Analytical Methods and Programs Overview
- Overview of R Framework
- Overview of Big Data Analytics
- Exploratory Data Analysis
- Statistical methods of Evaluation
- Coffee break
- Advanced Methods of Clustering
- Advanced Theory and Methods of Association Rules
- Advanced Theory and Methods of Regression
- Case Study and Summary
Day 4
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
- Coffee break
- Technology and Tools for Advanced Data Analytics (continued)
- Use Case and Assessment
- Case Study and Summary
Day 5
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
- Coffee break
- Current Best Practice Management and Approach for Project Delivery (continued)
- Data Visualization Overview
- Summary ad Case Study
FAQ
Frequently asked questions
What does The Complete Course on Data Science & Big Data Analytics cover?
This course covers Digital Innovation and Transformation through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 19 - 23 October 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
This programme is designed for professionals responsible for strategy, operations, transformation, or delivery leadership.
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Vienna, Barcelona, Paris, Rome, Munich, Amsterdam, London, Istanbul, Cape Town.
How long is the training programme?
The programme runs for five days, with up to five training hours per day, from 9:00 AM to 2:00 PM. Each programme includes a total of 25 training hours.
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