Two candidates. One promotion. How do you decide—and defend your choice? This course teaches you to explain why performance score, tenure, and potential rating each matter for promotion decisions—and why relying on any single input leads to costly mistakes. You'll build a weighted decision matrix that makes trade-offs explicit and defensible. You'll also learn to use AI tools like ChatGPT to draft plain-language recommendations, then verify the AI's output matches your actual data. Through realistic role plays where you present to a promotion committee and coach dialogues where you navigate political pressure, you'll practice making evidence-based decisions that hold up to scrutiny. Designed for HR professionals and team leads. Basic spreadsheet familiarity helpful. Access to free ChatGPT or Claude recommended.

Make Data Decisions

Make Data Decisions
This course is part of People Data Foundations: Metrics & Visualization Specialization


Instructors: Coursera Support
Access provided by Emerson Electric
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Use performance, tenure, and potential data to inform promotion decisions by completing a weighted decision matrix.
Analyze results to draft data-driven recommendations with AI assistance.
Details to know

Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
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.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 2 modules in this course
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