Module 1

Module 1: Fundamental of HR Analytics (7.5 hours)

1. Introduction to HR Analytics; Measures, Metrics and Data Visualization;
2. Creating HR Dashboards; Diversity analytics.

Module 2

Module 2: HR Analytics Measures (7.5 hours)

1. HR Survey Measures (Predictive, Reliability, and Factor analysis);
2. Latent profile Analysis.

Module 3

Module 3: Predictive modeling (7.5 hours)

1. Predicting the employee performance; Renege Modeling.
2. Employee recruitment and preference analysis.

Module 4

Module 3: Behavioral modeling and Practices (7.5 hours)

1. Behavioral modeling – Structural equation modeling using R.
2. Project presentation.

Course Description

Human resource management is the process of delivering competitive advantage through people. HR managers are facing several issues pertinent to managing human resources in an efficient manner. The major challenges faced by the HR managers are employee engagement, employee performance, diversity and inclusion, staffing practices and employee attrition. This course is intended to cover how HR analytics techniques are helping the HR managers to tackle their HR-related issues. Through this course, the student will be able to understand the role of HR analytics in managing the human resources available in the organization.

Course Outcomes& Learning levels

At the end of the course students will be:

1. Able to develop necessary skills to identify and apply analytics to solve HR problems (Analyze).
2. Able to demonstrate the ability to measure and monitor the progress of human resources using different metrics (Create).
3. Able to demonstrate the competence in developing and analyzing the HR data using descriptive, predictive and prescriptive data analytics techniques and communicate the results for decision making (Create).

Evaluation Pattern

*Based on assignments / Tests / Quizzes / Case Studies / Projects / Term paper / Field visit report.

Course Text

1. Edwards, M. R., & Edwards, K. (2016). Predictive HR Analytics: Mastering the HR Metric. Kogan Page Publishers.
2. Fitz-Enz, J., & John Mattox, I. I. (2014). Predictive analytics for human resources. John Wiley & Sons.
3. Phillips, J., & Phillips, P. P. (2014). Making human capital analytics work: Measuring the ROI of human capital processes and outcomes. McGraw Hill Professional.
4. Sesil, J. C. (2013). Applying advanced analytics to HR management decisions: Methods for selection, developing incentives, and improving collaboration. FT Press.