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Coursera

Apply Basic HR Stats

Coursera via Coursera

Overview

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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.

Syllabus

  • Why Statistical Significance Matters: Foundations for HR Survey Analysis
    • Learn why not every engagement score difference deserves a reaction—and how statistical significance helps you distinguish real patterns from random noise. Understand what p-values mean, learn the 0.05 decision threshold, and prepare to run your first t-test by understanding Excel's T.TEST function setup with AI-assisted explanations.
  • Run, Interpret, Document: Completing Your AI-Assisted T-Test Analysis
    • Move from understanding to doing: run an actual t-test in Excel, use AI to interpret and explain your p-value, apply the 0.05 threshold, classify the result as significant or not significant, and document your findings with AI-assisted plain-language explanations.

Taught by

Coursera Support and Ritesh Vajariya

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