Stop reacting to resignations—start predicting them. You'll learn how the talent-management cycle (attraction, development, retention) reveals where flight risk hides, and you'll practice flagging high-potential employees at risk of leaving using real workforce data in Excel. Using AI tools like ChatGPT, you'll draft defensible risk explanations that give stakeholders what they need to act. Through realistic role plays where you diagnose a colleague's missed risk signals and defend your own assessment to a skeptical VP, you'll develop the analytical skills that turn HR data into retention decisions. Designed for HR professionals, analysts, and anyone responsible for keeping top talent from walking out the door. Basic spreadsheet familiarity helpful; no HR analytics background required.

Identify Talent Risks

Identify Talent Risks
This course is part of People Data Foundations: Metrics & Visualization Specialization


Instructors: Coursera Support
Access provided by Samsung Research, Bangalore
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Identify high-potential employees at risk of leaving by applying turnover and performance data to a spreadsheet model.
Flag at-risk individuals with defensible explanations.
Use AI to help document reasoning for stakeholders.
Details to know

Shareable certificate
Add to your LinkedIn profile
Assessments
2 assignments
Taught in English
Recently updated!
April 2026
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Build your subject-matter expertise
This course is part of the People Data Foundations: Metrics & Visualization Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 2 modules in this course
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