1.1- Introduction to People Analytics
FREE PREVIEW1.2-Goals for the Course
1.3-Course Outline and Overview
FREE PREVIEW1.4-People Analytics in Practice
1.5-Performance Evaluation the Challenge of Noisy Data
1.6-Chance vs. Skill the NFL Draft
1.7-Finding Persistence Regression to the Mean
1.8-Extrapolating from Small Samples
1.9-The Wisdom of Crowds Signal Independence
1.10-Process vs. Outcome
1.11-Summary of Performance Evaluation
2.1-Introduction to Professor Bidwell
2.2-Staffing Analytics Overview
2.3-Hiring 1 Predicting Performance
2.4-Hiring 2 Fine-tuning Predictors
2.5-Hiring 3 Using Data Analysis to Predict Performance
2.6-Internal Mobility 1 Analyzing Promotibility
2.7-Internal Mobility 2 Optimizing Movement within the Organization
2.8-Causality 1
2.9-Causality 1
2.10-Attrition Understanding and Reducing Turnover
2.11-Turnover Predicting Attrition
2.12-Staffing Analytics Conclusion
3.1-Introduction
3.2-Basics of Collaboration
3.3-Describing Collaboration Networks
3.4-Evaluating Collaboration Networks
3.5-Measuring Outcomes
3.7-Intervening in Collaboration Networks
4.1-Talent Analytics The Importance of Context
4.2-Interdependence
4.3-Self-fulfilling Prophecies
4.4-Reverse Causality
4.5-Special Topics Tests and Algorithms
4.6-Prescriptions Navigating the Challenges of Talent Analytics
4.7-Course Conclusion Organizational Challenges 1
4.8-Course Conclusion Organizational Challenges 2
