Wharton School of Business - People Analytics by Coursera
5.0 /5- Offered byCoursera
People Analytics by Coursera at Coursera Overview
Duration | 8 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
- Earn a certificate after completion of the course
- Financial aid available
- Assessments and projects for real world scenarios
People Analytics by Coursera at Coursera Course details
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
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
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 Faculty details
People Analytics by Coursera at Coursera Admission Process
Important Dates
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People Analytics by Coursera at Coursera Students Ratings & Reviews
2 Ratings- 4-52
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