UPenn - People Analytics
4.0 /5- Offered byCoursera
People Analytics at Coursera Overview
Duration | 9 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
People Analytics at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 3 of 5 in the Business Analytics Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Approx. 9 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, English, Spanish
People Analytics at Coursera Course details
- People analytics is a data-driven approach to managing people at work. For the first time in history, business leaders can 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 brand new course, three of Wharton?s top professors, all pioneers in the field of people analytics, 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. They?ll explain how data and sophisticated analysis is brought to bear on people-related issues, such as recruiting, performance evaluation, leadership, hiring and promotion, job design, compensation, and collaboration. This course is an introduction to the theory of people analytics, and is not intended to prepare learners to perform complex talent management data analysis. By the end of this course, you?ll understand how and when hard data is used to make soft-skill decisions about hiring and talent development, so that you can position yourself as a strategic partner in your company?s talent management decisions. This course is intended to introduced you to Organizations flourish when the people who work in them flourish. Analytics can help make both happen. This course in People Analytics is designed to help you flourish in your career, too.
People Analytics at Coursera Curriculum
Introduction to People Analytics, and Performance Evaluation
Introduction to People Analytics
Goals for the Course
Course Outline and Overview
People Analytics in Practice
Performance Evaluation: the Challenge of Noisy Data
Chance vs. Skill: the NFL Draft
Finding Persistence: Regression to the Mean
Extrapolating from Small Samples
The Wisdom of Crowds: Signal Independence
Process vs. Outcome
Summary of Performance Evaluation
Performance Analytics Slides PDF
People Analytics in Action: Additional Reading
Performance Evaluation Quiz
Staffing
Introduction to Professor Bidwell
Staffing Analytics Overview
Hiring 1: Predicting Performance
Hiring 2: Fine-tuning Predictors
Hiring 3: Using Data Analysis to Predict Performance
Internal Mobility 1: Analyzing Promotibility
Internal Mobility 2: Optimizing Movement within the Organization
Causality 1
Causality 2
Attrition: Understanding and Reducing Turnover
Turnover: Predicting Attrition
Staffing Analytics Conclusion
Staffing Analytics Slides PDF
Staffing Analytics in Action: Additional Reading
Staffing Quiz
Collaboration
Introduction to Professor Haas
Basics of Collaboration
Describing Collaboration Networks
Mapping Collaboration Networks
Evaluating Collaboration Networks
Measuring Outcomes
Intervening in Collaboration Networks
Collaboration Slides PDF
Collaboration Research in Action: Additional Readings
Collaboration Quiz
Talent Management and Future Directions
Talent Analytics: The Importance of Context
Interdependence
Self-fulfilling Prophecies
Reverse Causality
Special Topics: Tests and Algorithms
Prescriptions: Navigating the Challenges of Talent Analytics
Course Conclusion: Organizational Challenges 1
Course Conclusion: Organizational Challenges 2 and Future Directions
Goodbye and Good Luck!
Talent Analytics and Conclusion Slides PDF
Talent Management in Action: Additional Readings
Talent Management Quiz
People Analytics at Coursera Admission Process
Important Dates
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