3D Visualisations and Data Scenario Modelling (using Virtualitics)

What you'll learn

Course description

This course will empower you to learn how to demystify data science with VR using AI-based platform Virtualitics! Students will discover how to visualise the data in front of them in 3D, and interact with it. Virtualitics’ AI platform enables rapid transformation of complex data into powerful multi-dimensional graph visualisations, and prediction of future outcomes with clear, explainable no-code AI modelling. 

With their Shared Virtual Office feature, there’s a possibility to turn VR systems into teleconferencing rooms where students can discuss insights from data while having it life-sized in front of them.

Course outline

We discover and understand how 3D visualisations can offer new ways to view, manipulate and interact with complex data. Powerful 3D visuals illuminate the relationships, facts, and previously unseen insights the AI discovered

We continue our journey with identifying different variables, anomalies and relationships, extracting key insights with ease. Students have the opportunity to discover how to use machine learning models to quickly find and visualise relationships among hundreds of variables to understand the ones that drive your problem at hand.

We discover and understand how to provide insights into and how best to approach problems. If this is new territory for students, it will empower them to make better decisions based on reliable data insights.

We explore and discuss why the gap between the analytics teams and the business has prevented AI success. In this way, we learn how to improve collaboration by bringing business and data science teams together in a shared virtual space.

We introduce the concept of why visualisations are critical to getting the business and the analytics teams aligned and to build trust. We’ll learn how to validate predictions with flexible scenario planning that lets users fine-tune inputs and action plans.

We learn how the practical application of AI can be made easy for everyday people to trust and leverage. We go through use cases where teams collaborate across different geographic locations, interacting and analysing data together—which is much more effective than exchanging PDFs or screen sharing!

We learn about the creation of predictive models that are incredibly accurate or accurate enough to make timely decisions. We’ll learn to identify critical business insights that generate real value seamlessly.

Time commitment

3-4 hours per week


Hybrid, cohort-based and facilitator guided.


This course will be delivered via slides, videos, quizzes, discussions and interactive assignments. There will be a start and end date and one cohort taking the course.