Can you explain what 'turnover rate' actually means—and calculate it correctly? This course teaches you to use fundamental HR metrics like headcount, turnover rate, and average tenure, then calculate them using Excel formulas. You'll learn why metric definitions matter—the same number can mean different things to HR, Finance, and Operations—and how small definition choices change everything. You'll practice calculating turnover rate and average tenure from a realistic 50-row employee dataset using COUNTIFS and AVERAGE. Using AI tools like ChatGPT, you'll draft plain-language summaries for stakeholders and learn to verify that AI outputs match your actual numbers. Through realistic role plays where you defend your metrics to a skeptical board member and coach dialogues where you navigate competing definition demands, you'll build the foundational analytics skills every HR professional needs. Basic spreadsheet familiarity helpful. Access to free ChatGPT or Claude recommended.

Decode HR Metrics

Decode HR Metrics
This course is part of People Data Foundations: Metrics & Visualization Specialization


Instructors: Coursera Support
Access provided by Mindsprint
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 fundamental HR data terms to interpret workforce reports.
Apply Excel formulas to calculate turnover rate and average tenure.
Analyze metric findings to communicate insights to stakeholders.
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.
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There are 2 modules in this course
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