
CERTIFICATE OF COMPLETION
This is to certify that
Tan Boon Heon
has completed the
AI For Leaders: Leveraging Data Analytics for Business
2 - 6 December 2024
Serial No.: 125863563
Scan to authenticate
certificate & view
course information

Dean and Distinguished Professor
NUS Business School
Director & Head, Executive Education
NUS Business School
Andrew K. Rose
Helen Chai


Tan Boon Heon
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.
Issued on
December 10, 2024
Expires on
Does not expire