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 Universitas Indonesia
172,632 already enrolled
Gain insight into a topic and learn the fundamentals.
2,142 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
- Mental Health
- Business Metrics
- Business Analysis
- Data Presentation
- Compensation Strategy
- Talent Recruitment
- Performance Metric
- Human Capital
- Employee Training
- Compensation Analysis
- Employee Retention
- Data Analysis
- Employee Engagement
- Data Storytelling
- Compensation and Benefits
- Human Resource Strategy
- Training and Development
- Employee Relations
Tools you'll learn
Details to know
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Taught in English
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There are 4 modules in this course
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Showing 3 of 2142
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
AS
Reviewed on Sep 1, 2024
Relevant topics and excellent to consider in HR functions, however a lot of the articles are outdated (pre-2020) and a lot has changed in the workplace since then.
AR
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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