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AI Data Analytics & Visualisation

About Course

3-Day Intensive Live Online Training Programme

Upcoming dates: Available on request.

AI Data Analytics & Visualisation is an intensive, instructor-led training programme designed for professionals who want to use AI and data more effectively to generate insights, support decisions, and communicate findings clearly. The course focuses on practical workplace application, helping participants understand how AI can enhance data analysis, speed up insight generation, and improve the quality of visual reporting and business communication.

Through guided demonstrations, practical exercises, realistic business scenarios, and applied visualisation tasks, participants learn how to work with data more confidently and transform raw information into meaningful, actionable insights. The training is designed for professionals who want a hands-on introduction to AI-enhanced analytics and visual communication without needing an advanced technical background.

Participants who successfully complete the training will receive a Certificate of Completion from London Global Centre. Training is delivered by experienced trainers with strong professional and industry backgrounds.

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What Will You Learn?

  • Understand how AI can support data analysis, insight generation, and decision-making in business contexts.
  • Explore practical ways to analyse data more efficiently and identify trends, patterns, and anomalies.
  • Learn how to create clearer and more effective charts, dashboards, and visual reports.
  • Improve the way data insights are communicated to stakeholders through visual storytelling and structured reporting.
  • Use AI-assisted tools and techniques to support exploratory analysis and visualisation tasks.
  • Build confidence in applying analytics and visualisation thinking to realistic workplace problems.

Course Content

Day 1: Foundations of AI-Driven Data Analytics

  • Introduction to data analytics, AI-assisted analysis, and the role of data in modern business decision-making.
  • Understanding different types of data, common analysis tasks, and how AI can help accelerate insight generation.
  • Exploring business use cases where data analytics and AI support operational, strategic, and customer-focused decisions.
  • Guided exercises to identify useful questions, data needs, and opportunities for AI-supported analysis in workplace scenarios.

Day 2: Data Interpretation and Visualisation

Day 3: Communicating Insights for Business Impact