Professional Certificate in Data Analytics & Visualisation

Course Introduction

Whether you are new to Data Analytics & Visualisation or refining existing skills, this professional-certificate 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

• 01Explain the core principles, terminology and standards behind Data Analytics & Visualisation in clear, practical language
• 02Select and adapt suitable approaches to Data Analytics & Visualisation for the constraints of data, analytics and automation initiatives
• 03Diagnose weak spots in current practice and prioritise corrective action
• 04Use practical tools, checklists and templates that support day-to-day Data Analytics & Visualisation
• 05Leave with a prioritised list of improvements you can start within 30 days

What You Will Take Away

• Sample datasets, scripts or configurations to reuse
• A roadmap for adopting the tools in your team
• Hands-on lab exercises with guided walkthroughs

Who Should Attend

• Business & Digital Transformation Leaders
• Data & Analytics Professionals
• IT & Innovation Managers
• Operations Managers Exploring AI

Prerequisites: Suitable for practising professionals; basic familiarity with the subject is helpful.

Training Methodology

A balanced mix of instruction, worked examples and instructor-led review sessions builds competence that carries straight into the workplace. Case material and examples are drawn from data, analytics and automation initiatives.

Day-by-Day Programme (5 Days)

• Day 1
  Foundations and context

  Key terms, roles and the regulatory background behind Data Analytics & Visualisation, with examples from data, analytics and automation initiatives.

• Day 2
  Methods and standards in depth

  A detailed look at frameworks, codes and decision methods used in Data Analytics & Visualisation.

• Day 3
  Practical workshop day

  Group exercises and simulations that put Data Analytics & Visualisation techniques to work.

• Day 4
  Case-study day

  Real-world cases, failure analysis and improvement options related to Data Analytics & Visualisation.

• Day 5
  Action plan and assessment

  Review, individual action plans and a short assessment to confirm readiness to apply Data Analytics & Visualisation.

Upcoming Sessions