Hands-on Data Science
Data-driven Risk Registers: Future Risk Management
Adrian Dunkley
Adrian Dunkley is the founder and CEO of StarApple AI, Jamaica's first AI and Data Science company, he has a background in fintech, tourism, and sports science. He's held leadership roles in multinational corporations and is the President of the Jamaica Technology and Digital Alliance. Adrian aims to establish a Caribbean Space Agency and is a Data Scientist and A.I Engineer with 15+ years of experience. He holds a double major in Mathematics and Physics and a Masters in Enterprise Risk Management.
3 Hours
Duration-
500Per Person
Individual -
200Per Person
Groups of 5+ participants
Course Description:
Join our 2-day course to learn how data analytics can transform your approach to risk management in the public sector. We’ll delve into how to create and maintain a data-driven risk register that can help you predict and mitigate risks more effectively. You’ll gain hands-on experience working with real government datasets, guided by our expert instructors who bring extensive experience in public sector risk management.
Syllabus:
- Introduction to Data Analytics in Risk Management: Understanding the role of data analytics in identifying, assessing, and managing risks in the public sector.
- Creating a Data-Driven Risk Register: Techniques for developing and maintaining a risk register using data analytics to track and prioritize risks.
- Predictive Analytics for Risk Forecasting: Learning how to apply predictive analytics to forecast risks and their potential impacts on public sector operations.
- Risk Mitigation Strategies: Strategies for using data analytics to develop and implement effective risk mitigation measures.
- Hands-On Experience with Government Datasets: Practical exercises using real government data to apply the concepts of data-driven risk management and predictive analytics.
Prerequisites:
- There are no prerequisites for this course.
Grading Policy:
- 2 exams
- 1 capstone project
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