This course is a starting place for HR and People professionals who want to learn a right way to use HR and People data. It helps you understand why HR analytics is a critical and growing discipline in HR and how companies are using HR data to make better decisions.
In the course you will build a foundation of analytical skills and learn how to apply these skills to solve 'real world' HR and People problems. You will learn a logical and systematic approach to HR analytics with a focus on how to extract actionable insights from your data and use those insights in the decision-making process.
Course Key Concepts: HR analytics, People analytics, Talent analytics, HR data, Survey data, Benchmarks or benchmarking, HR metrics, Flight risk, Recruiting metrics.
Prerequisites
No advanced preparation or prerequisites are required for this course.
Learning Objective
- Explore HR Analytics and it's major components
- Identify the different types of HR and People data and how to use them
- Discover how to analyze HR and People data
- Recognize how to extract actionable insights from data
Last updated/reviewed: July 17, 2025
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Progress
INTRODUCTION AND OVERVIEW
- Introduction to HR Analytics 101 1:56
- HR Analytics:What it is and why it matters 3:25
- HR Analytics Key Priority 2:19
- HR Analytics Primary Components 2:28
- Understand and Use your HR and People Data 3:51
- The Data Foundation 4:23
- Primary Types of Structured Data 5:16
- Structuring Data Example 4:07
- Data Governance Overview 2:43
- How to Analyze your HR and People Data 3:07
- Descriptive Statistics 5:50
- Inferential Analysis 5:13
- Statistical Significance and Sample Size 6:38
- Actionable Insights 5:11
- Gender Pay Gap 8:33
- Key Takeaways 2:41
Continuous Play
- HR Analytics 101 1:07:39
Supporting Materials
- Slides: HR Analytics 101: How to analyze and use your HR data PDF
- HR Analytics 101: How to analyze and use your HR data Glossary/Index PDF
Review And Test
- REVIEW QUESTIONS quiz
- FINAL EXAM exam
HR Analytics 101: How to analyze and use your HR data
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