Hands-on Data Science
Risk Analytics for Public Sector Workers
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 be applied to risk management in the public sector. Our expert instructors will guide you through risk modeling techniques, predictive analytics, and scenario analysis. You’ll gain hands-on experience working with real government datasets, and learn how to make data-informed decisions to manage and mitigate risks effectively.
Introduction to Risk Management and Data Analytics: Overview of risk management in the public sector and the role of data analytics in identifying and assessing risks.
Risk Modeling Techniques: Learning about different risk modeling techniques and how they can be applied to public sector challenges.
Predictive Analytics for Risk Assessment: Training in predictive analytics methods to forecast potential risks and their impacts.
Scenario Analysis and Planning: Techniques for conducting scenario analysis to prepare for various risk outcomes and decision-making processes.
Hands-On Risk Analysis Workshop: Practical exercises using real government datasets to apply risk modeling, predictive analytics, and scenario analysis for effective risk management.
Syllabus:
- Introduction to Risk Management and Data Analytics: Overview of risk management in the public sector and the role of data analytics in identifying and assessing risks.
- Risk Modeling Techniques: Learning about different risk modeling techniques and how they can be applied to public sector challenges.
- Predictive Analytics for Risk Assessment: Training in predictive analytics methods to forecast potential risks and their impacts.
- Scenario Analysis and Planning: Techniques for conducting scenario analysis to prepare for various risk outcomes and decision-making processes.
- Hands-On Risk Analysis Workshop: Practical exercises using real government datasets to apply risk modeling, predictive analytics, and scenario analysis for effective risk management.
Prerequisites:
- There are no prerequisites for this course.
Grading Policy:
- 2 exams
- 1 capstone project
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