Fundamentals of Human Resource (HR) Analytics


Learn how HR Analytics leverage the power of data in order to make better informed (data-driven) workforce-related decisions. With a data-driven approach to HR, you'll be able to convincingly show business leaders the direct impact of HR processes and initiatives on business outcomes - revenue, expenses and profit, productivity, and customer satisfaction.

Many executives have identified people analytics as a key priority. Thus, in the recent years, progressive companies have been actively developing their internal HR analytics capabilities. Case studies have shown that HR analytics have been successfully used in areas such as:

  • Predicting turnover risks and modeling scenarios in advance to reduce the loss
  • Isolating the key employee experience factors for optimal job performance, engagement, and job satisfaction
  • Identifying the impact of talent hiring, retention and engagement
  • Generating predictive metrics for selecting high-performing applicants
  • Identifying high-value paths and leadership candidates


No prior statistical or programming knowledge is required for this course. This is designed for learners with any background.

  1. HR executives or leaders who want to understand how to set up an HR analytics team
  2. HR professionals responsible for establishing, leading, or managing an analytics function
  3. HR professionals who want to expand their competencies in HR analytics
  4. Business executives who want more from HR


  1. Explain the rationale for HR Analytics and its importance in strategic human resource management.
  2. Describe the 8-step approach to implementing an HR Analytics project and address potential issues for each step.
  3. Generate and interpret basic descriptive analytics using JAMOVI (an open source software).
  4. Generate data visualizations using Microsoft Power BI (an open source software) and generate insights from data.


1. Fundamentals of HR Analytics

  • Why HR Analytics?
  • What is HR Analytics
  • Overview of the 7-Step Approach to HR Analytics
  • Critical Success Factors

2. The 8-Step Model for Purposeful Analytics

3. Descriptive Analytics

  • Foundation Concepts: Data Types, Levels of Measurements, Sampling
  • Describing the central tendencies and dispersion
  • Aggregation

4. Using PowerBi as an HR Analytics Tool

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