With advances in technology and cloud computing, numerous data sources are available to drive organizational success. High-performing HR teams use data as a "decision science" by identifying metrics and data sources that deliver organizational insights. This course focuses on identifying effective data sources, developing meaningful metrics, designing long-term measures, and applying results in support of organizational strategy and tactics.
Human Resources Analytics
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Gain insight into a topic and learn the fundamentals.
2,146 reviews
Beginner level
No prior experience required
Flexible schedule
7 hours to complete
Learn at your own pace
96%
Most learners liked this course
What you'll learn
Apply data-driven decision-making to HR challenges.
Develop and interpret key HR performance metrics.
Leverage analytics for strategic human resource planning.
Utilize data to optimize employee life cycle processes.
Skills you'll gain
- Compensation Strategy
- Compensation Analysis
- Data Storytelling
- Training and Development
- Talent Recruitment
- Data Presentation
- Human Capital
- Data Analysis
- Performance Metric
- Employee Relations
- Employee Training
- Employee Retention
- Mental Health
- Human Resource Strategy
- Business Analysis
- Business Metrics
- Employee Engagement
- Compensation and Benefits
Tools you'll learn
Details to know
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Taught in English
See how employees at top companies are mastering in-demand skills
There are 4 modules in this course
Instructor
Instructor ratings
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Showing 3 of 2146
OO
Reviewed on Jan 25, 2022
This course has been an eye opener to hidden and educative facts about People Analytics. I recommend this course to anyone along the corridor of HR, People analytics, R and D etc
BM
Reviewed on May 14, 2021
I love the course, it was very insightful eye opening on how to approach HR issues such as use of metrics for analysing data. It made HR easy for me to advise in decision making through evident data,
AE
Reviewed on Dec 23, 2025
HR Metrics transform data into decisions, and this course opens our minds to exactly that. Thank you University of California, Irvine for this opportunity.
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