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Berkeley Global
HR analytics is one of the fastest-growing, most in-demand skillsets for human resource professionals today. This course will introduce you to the concepts of how analytics can be applied to the various areas of HR and talent management; no previous experience or analytics skills are necessary. In this course, you will learn the basics of measuring people at work, how to use the information available to make critical recommendations to senior leaders, and how to tell a compelling story using people data.
Prerequisites: Essentials of Human Resources BUS ADM X450.1
Course Outline
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Course Objectives
- Understand how to source, analyze and develop analytics for measuring employee and organizational performance
- Interpret qualitative and quantitative Human Resources data
- Identify where and how data and analysis adds value to organizational programs, policies and processes
- Analyze and make recommendations on findings derived from HR-based data
- Understand the different types and sources of HR data
- Evaluate and qualify issues or challenges related to managing HR data
- Communicate, clarify and provide recommendations to management on analyzed data
What You'll Learn
- Human capital data
- Decision frameworks
- Cost-benefit analysis
- Return on Investment (ROI)
- Net Present Value (NPV) and Internal Rate of Return (IRR)
- Determining and validating data sources
- Data governance and management
- Computing summary statistics
- Developing data correlations
- Predictive analytics
- Analytical biases
- Benchmarking
- Organizational metrics
- Employee and organizational performance indicators
- Financial integration
- HR performance dashboards/data visualization
- Measuring business impact
How You'll Learn
- Interactive lectures
- Assignments
- Group discussions
Is This Course Right for Me?
This course is intended for HR and management professionals within every type of organization who are interested in developing their skills and abilities to evaluate, analyze and measure organizational and employee performance.
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Sections
Spring 2025 enrollment opens on October 21!