AI-Driven Analytics

About

AI-Driven Analytics is an introductory, hands-on course designed to help researchers understand the wide range of analytical and AI methods shaping modern research and decision-making. The course provides a guided journey from basic data exploration and visualisation through predictive and prescriptive analytics, before introducing current AI trends such as generative models, agent-based AI, and simulation-driven approaches.

Part of the methods@manchester Summer School

Course leader

Dr Ali Hassanzadeh

Target group

This course is suitable for:

PhD students and Early Career Researchers
Researchers from non-technical backgrounds
Researchers who have heard about AI but have not yet used it
Participants who want to explore AI methods before committing to more advanced technical courses

Course aim

Understand the landscape of AI-driven analytics, from descriptive and predictive methods to modern AI systems
Gain hands-on exposure to common analytics and AI tools using simple examples
Learn the differences between supervised, unsupervised, and reinforcement learning
Understand emerging AI trends such as agent-based AI, simulation-driven AI, and physics-informed models
Develop confidence to explore AI methods independently in their own research

Fee info