University of Illinois at Urbana-Champaign
Empathy and Data in Risk Management
University of Illinois at Urbana-Champaign

Empathy and Data in Risk Management

Taught in English

Course

Gain insight into a topic and learn the fundamentals

Justin Leiby

Instructor: Justin Leiby

Beginner level
No prior experience required
16 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Progress towards a degree

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Assessments

17 quizzes

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There are 5 modules in this course

Risk Management and Innovation develops your ability to conduct empathy-driven and data-driven analysis in the domain of risk management. This course focuses on the process of managing enterprise risk, in which understanding both data and stakeholder enriches each step. The course introduces the three lines of defense, tools to identify and assess risks, risk responses, key risk indicators, and risk reporting. You will use tools like risk statements, bowtie analysis, matrices, and heat maps to apply these concepts, and use data visualization in Tableau to practice applying data analysis to better manage risks.

What's included

3 videos7 readings1 quiz1 discussion prompt1 plugin

In this module, you will examine risk management in organizations, with a focus on understanding stakeholders, such as customers, employees, and society at large. The course introduces frameworks to identify, assess, respond to, and report on risk within an organization, and tools to link these risk management activities to data analysis and stakeholder needs. This course illustrates these concepts in two important areas: 1) Cybersecurity, and 2) diversity, equity, and inclusion. Finally, the course provides practice with data visualization tools.

What's included

3 videos2 readings4 quizzes

In this module, you will examine ways to measure risk. This module introduces key risk indicators and the tradeoffs between using qualitative or quantitative indicators. You will learn how to use bowtie analysis to identify measures of risk. You will also transition from risk measurement to risk assessment and different approaches to define risk likelihood and risk magnitude.

What's included

3 videos2 readings4 quizzes1 peer review

In this module, you will explore artificial intelligence, algorithms, and risk management. This module will introduce the basic types of algorithms and the special problems represented by the use of algorithms in organizations. You will discuss psychological issues in using inputs from algorithms, including situations leading to over-utilization or underutilization of algorithmic input.

What's included

3 videos2 readings4 quizzes

In this module, you will examine risk reporting and monitoring. This module discusses the use of heat maps and risk dashboards to communicate risk information to stakeholders. You will also discuss the importance of risk monitoring and ways organizations evaluate how risks change. Finally, you will examine common principles of persuasion as a way to enhance the effectiveness of communication.

What's included

3 videos4 readings4 quizzes1 plugin

Instructor

Justin Leiby
University of Illinois at Urbana-Champaign
2 Courses1,401 learners

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