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
Human Resources Analytics
Instructor: Amber Gould
Access provided by Anima Educacao
171,666 already enrolled
Gain insight into a topic and learn the fundamentals.
2,140 reviews
Beginner level
No prior experience required
Flexible schedule
5 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
- Employee Training
- Data Presentation
- Compensation Analysis
- Talent Recruitment
- Data Analysis
- Performance Metric
- Business Analysis
- Data Storytelling
- Employee Engagement
- Employee Retention
- Business Metrics
- Human Capital
- Employee Relations
- Compensation and Benefits
- Training and Development
- Mental Health
- Human Resource Strategy
Tools you'll learn
Details to know
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Taught in English
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There are 3 modules in this course
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Showing 3 of 2140
AD
Reviewed on May 8, 2021
It is a nice course, provides information from very reliable & trusted sources regarding a concept which will continue to assume greater importance in the coming days - HR/People Analytics.
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
DD
Reviewed on May 19, 2021
Great course. But would have liked to have activities that helped to cull data, calculate metrics, develop analytics and derive insights about a business case.
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