Objectives
Through this programme, participants will:
- Develop the skills and knowledge needed to leverage big data analytics, machine learning and AI capabilities to drive innovation and gain a competitive and sustainable edge in your business.
- Learn about the latest ideas and techniques in big data, machine learning and analytics and discover how to apply them to real-world business challenges.
- Understand how to interpret and trust the data that goes into your analytics, and learn how to make informed, data-driven decisions.
- Gain the knowledge and tools to build a data-driven culture across your organisation, and learn how to effectively communicate the value of data analytics to stakeholders at all levels.
The programme focuses on:
Big Data Analytics: Explore the technologies, policies, and analytics methods that are essential for leveraging big data, machine learning and AI capabilities to drive innovation and gain a competitive edge.
Actionable Intelligence in Business: Learn optimisation and visualisation techniques and discover how to engage stakeholders and turn data into actionable insights.
Machine Learning and Business Applications: Get hands-on experience with machine learning techniques and learn how to apply them to solve real-world business challenges.
Disruptive Innovation: Explore how to create new opportunities in mature markets using big data analytics, machine learning and AI capabilities.
Distilling Value from Analytics: Develop a strategy roadmap, understand privacy implications, and learn how to avoid common traps and myths in data analytics.
Change Management: Understand the role of data analytics, machine learning, and their applications in driving change within organisations.
Examples and Cases: Explore real-world examples of how data analytics and machine learning can be applied to risk management, HR analytics, legal analytics, revenue management, consumer and retail analytics, and more.