UPenn - People Analytics by Coursera
5.0 /5- Offered byCoursera
People Analytics by Coursera at Coursera Overview
Duration | 11 hours |
Start from | Start Now |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Go to Website  |
Credential | Certificate |
Future job roles | Advanced Financial Modeling, Budgeting, Accounting |
People Analytics by Coursera at Coursera Highlights
- 28% got a tangible career benefit from this course
- 14% got a pay increase or promotion
- Earn a certificate from Wharton University
- Offered by Wharton, University Of Pennsylvania
People Analytics by Coursera at Coursera Course details
- Introduction to People Analytics, and Performance Evaluation
- Performance Evaluation: the Challenge of Noisy Data
- Staffing Analytics Overview
- Attrition: Understanding and Reducing Turnover
- Describing Collaboration Networks
- Talent Analytics: The Importance of Context
- 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.
People Analytics by Coursera at Coursera Curriculum
Week 1: 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
Week 2: 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 I
Causality II
Attrition: Understanding and Reducing Turnover
Turnover: Predicting Attrition
Staffing Analytics Conclusion
Week 3: Collaboration
Introduction to Professor Haas
Basics of Collaboration
Describing Collaboration Networks
Mapping Collaboration Networks
Evaluating Collaboration Networks
Measuring Outcomes
Intervening in Collaboration Networks
Week 4: 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
Course Conclusion: Organizational Challenges 2 and Future Directions
People Analytics by Coursera at Coursera Admission Process
Important Dates
Other courses offered by Coursera
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