Practical Workshop for Data Analytics & Visualisation
Course Introduction
Whether you are new to Data Analytics & Visualisation or refining existing skills, this workshop-based course gives you a structured path through the subject as it applies to data, analytics and automation initiatives, guided by instructors who have worked in the field.
Training Objectives
- 01Describe how Data Analytics & Visualisation is defined, governed and measured in international practice
- 02Work through typical situations in data, analytics and automation initiatives using structured Data Analytics & Visualisation techniques
- 03Recognise common risks, errors and non-conformities linked to Data Analytics & Visualisation — and how to prevent them
- 04Choose the right indicators and records to monitor Data Analytics & Visualisation over time
- 05Translate the course learning into a realistic plan agreed with your line manager
What You Will Take Away
- Hands-on lab exercises with guided walkthroughs
- A practical architecture or workflow blueprint
- A risk and controls checklist for your environment
Who Should Attend
Prerequisites: Open to all levels; participants are encouraged to bring a real work challenge.
Training Methodology
Learning happens by doing — teams work through practical tasks, present their results and receive immediate feedback. Case material and examples are drawn from data, analytics and automation initiatives.
Day-by-Day Programme (5 Days)
- Day 1Foundations and context
Key terms, roles and the regulatory background behind Data Analytics & Visualisation, with examples from data, analytics and automation initiatives.
- Day 2Methods and standards in depth
A detailed look at frameworks, codes and decision methods used in Data Analytics & Visualisation.
- Day 3Practical workshop day
Group exercises and simulations that put Data Analytics & Visualisation techniques to work.
- Day 4Case-study day
Real-world cases, failure analysis and improvement options related to Data Analytics & Visualisation.
- Day 5Action plan and assessment
Review, individual action plans and a short assessment to confirm readiness to apply Data Analytics & Visualisation.
Upcoming Sessions
| City | Dates | Format |
|---|---|---|
| Amsterdam | November 16, 2026 – November 20, 2026 | Classroom |
| London | January 4, 2027 – January 8, 2027 | Classroom |
| London | February 8, 2027 – February 12, 2027 | Classroom |
| Muscat | May 10, 2027 – May 14, 2027 | Classroom |
| Paris | August 16, 2027 – August 20, 2027 | Classroom |
| Doha | January 17, 2028 – January 21, 2028 | Classroom |
| London | May 1, 2028 – May 5, 2028 | Classroom |
| Paris | May 15, 2028 – May 19, 2028 | Classroom |