Human Resource analytics is a data-driven approach to managing people at work. Business leaders can now make decisions about their people based on deep analysis of data rather than the traditional methods of personal relationships, decision making based on experience, and risk avoidance.
In this course, participants will explore the state-of-the-art techniques used to recruit and retain great people, and demonstrate how these techniques are used at cutting-edge companies.
Performance Evaluation Analytics
- Introduction to Human Resource Analytics
- Performance Evaluation: the Challenge of Noisy Data
- Chance vs. Skill — Tope vs Yasir Story
- Finding Persistence: Regression to the Mean
- Extrapolating from Small Samples
- The Wisdom of Crowds: Signal Independence
- Process vs. Outcome
- Summary of Performance Evaluation
- Performance Evaluation Quiz
- Recruitment Analytics
- Predicting Performance
- Staff Features Engineering Break
- Analyzing Promobility
- Optimizing Movement with the Organization
- Casuality: Part One
- Casuality: Part Two
- Exploratory Analytics on Staff Churn
- Predicting Staff Churn
- Recruitment Quiz
Human Resource Collaboration
- Basics of Collaboration
- Mapping Collaboration Networks
- Evaluating Collaboration Networks Break
- Measuring Outcomes
- Invervening in Collaboration Networks Break
- Hands-on Practice
- Discussions on Collaboration Tools
Talent Management Analytics
- Introduction to Talent Analytics
- Interdependence
- Self-Fulfilling Prophecies
- Reverse Casuality
- Test and Algorithms
- Challenges of Talent Analytics
- Talent Analytics Quiz
- Organizational Challenges
