Human Resources Analytics Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This course provides a comprehensive introduction to Human Resources Analytics, designed for HR professionals seeking to leverage data for strategic decision-making. Over four weeks, learners will explore key HR metrics, staffing and training analytics, employee relations measurement, and practical applications of data in HR. With a flexible schedule, the course requires approximately 12-16 hours to complete, offering lifetime access and a certificate upon finishing. Developed by the University of California, Irvine, it emphasizes real-world application through assignments and scenarios.

Module 1: HR Metrics Life Cycle

Estimated time: 4 hours

  • Understanding the employee life cycle
  • Introduction to HR metrics and their business impact
  • Stages of the HR metrics life cycle
  • Measuring HR agility and performance

Module 2: Staffing, Training, and Compensation Metrics

Estimated time: 4 hours

  • Key staffing metrics: time-to-hire, cost-per-hire, quality-of-hire
  • Training effectiveness metrics: completion rates, skill improvement, ROI
  • Compensation and rewards metrics: pay equity, bonus effectiveness
  • Using metrics to improve recruitment and retention

Module 3: Employee Relations and Overall HR Organization

Estimated time: 4 hours

  • Measuring employee engagement and satisfaction
  • Turnover and retention rate analysis
  • Tracking diversity, equity, and inclusion metrics
  • Reporting HR outcomes to leadership

Module 4: Applying HR Analytics

Estimated time: 4 hours

  • Integrating analytics into HR strategy
  • Case studies in data-driven HR decision-making
  • Translating data insights into action plans

Module 5: Final Project

Estimated time: 4 hours

  • Select a real or simulated organization
  • Analyze key HR metrics across staffing, training, and employee relations
  • Present recommendations based on data insights

Prerequisites

  • Basic understanding of HR principles
  • Familiarity with organizational structures
  • Access to spreadsheet software (e.g., Excel or Google Sheets)

What You'll Be Able to Do After

  • Understand and apply the HR metrics life cycle
  • Measure and interpret key staffing, training, and compensation metrics
  • Analyze employee relations data to support organizational success
  • Use HR analytics to inform strategic decision-making
  • Present data-driven HR insights to stakeholders
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