Stop guessing whether engagement survey differences matter—learn to test them statistically with AI assistance. In this hands-on course, you'll discover why not every score gap deserves a reaction, mastering the concept of statistical significance that separates evidence-based HR decisions from gut reactions. You'll learn to run Excel's T.TEST function to compare department scores, use ChatGPT to interpret your p-value in plain language, and apply the standard 0.05 threshold to classify differences as significant or not significant. Critically, you'll learn to verify AI outputs against your actual data—ensuring accuracy while gaining efficiency. Through realistic role plays and coach dialogues, you'll practice explaining concepts to colleagues and completing AI-assisted analyses. Designed for HR generalists, HR analysts, and people managers who want to combine analytics with modern AI tools. Basic Excel familiarity helpful; no statistics background required.

Apply Basic HR Stats

Apply Basic HR Stats
This course is part of People Data Foundations: Metrics & Visualization Specialization


Instructors: Coursera Support
Access provided by ICICI Bank
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
Explain why statistical significance matters when comparing engagement survey scores across departments.
Conduct a basic t-test in Excel using the T.TEST function to compare two groups.
Use AI tools like ChatGPT to interpret results and apply the 0.05 threshold to classify findings as significant or not significant.
Details to know

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Assessments
2 assignments
Taught in English
Recently updated!
April 2026
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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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