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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2,168 reviews
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 Analysis
- Data Analysis
- Human Resource Strategy
- Employee Training
- Business Metrics
- Talent Recruitment
- People Analytics
- Performance Metric
- Business Analysis
- Employee Engagement
- Data Storytelling
- Compensation and Benefits
- Employee Retention
- Compensation Strategy
- Training and Development
- Data Presentation
- Mental Health
- Dashboard
- Employee Relations
Details to know

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There are 4 modules in this course
Instructor

Offered by
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
Learner reviews
- 5 stars
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- 4 stars
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- 3 stars
5.76%
- 2 stars
1.66%
- 1 star
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Showing 3 of 2168
Reviewed on Apr 19, 2021
Human resource analytics is a critical component of human resource management. It is a well-designed course that will provide you with in-depth knowledge of data analysis using the metric system.
Reviewed on Sep 21, 2022
The course gave many insight on how metrics are used in HR process and on building business case.The course was very much useful and helped in understanding the shift to perople management
Reviewed on Jan 24, 2023
This course gives a very indept understanding on the factors to be considered for HR analytics and its usages. would have been great if along with Theory we can have few practical exercises too.
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