You’ll gain actionable knowledge through hands-on sessions and practical applications, including leveraging generative AI tools to automate processes and enhance decision-making, using clustering algorithms and data visualisations to uncover patterns, developing and interpreting regression models for predictive analytics, and tackling real-world industry challenges using data-driven approaches. Experience a structured mix of interactive lectures, practical workshops, and collaborative projects.
Lectures:
- Introduction to data science and generative AI | Understand the fundamentals of data science and AI. Explore real-world applications of advanced Generative AI tools like GPT-4o. 
- Supervised learning and predictive analytics | Learn regression and classification techniques to analyse data and predict outcomes. 
- Unsupervised learning and clustering | Dive into clustering methods for market segmentation and operational efficiency. 
- Data science operating models | Develop scalable frameworks to integrate data science into your organisation’s strategy. 
- Machine learning and AI applications | Apply neural networks and machine learning frameworks to solve complex business problems. 
Workshops: 
- Exploratory data analysis and regression | Use tools like Excel to analyse datasets and identify meaningful trends. 
- Market analysis and linear modeling | Build and refine regression models to uncover market insights and inform decision-making. 
- Clustering and generative AI applications | Implement clustering algorithms and explore creative Generative AI applications for automation and recommendations.