Course Summary
Learn how to use data and analytics to make informed decisions about hiring, managing, and developing employees in this People Analytics course from Wharton School of the University of Pennsylvania.Key Learning Points
- Understand the importance of people analytics in making data-driven HR decisions
- Learn how to use data to measure and improve employee performance
- Discover techniques for predicting employee turnover and improving employee retention
Related Topics for further study
Learning Outcomes
- Develop a strong foundation in people analytics and its importance in HR decision-making
- Learn to use data to improve employee performance and retention
- Gain insights into predicting employee turnover and reducing hiring costs
Prerequisites or good to have knowledge before taking this course
- Familiarity with basic statistics and data analysis
- Access to a computer with internet connection
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- People Analytics: Leveraging Data for Organizational Success
- Data Analytics for HR
Related Education Paths
Related Books
Description
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.
Outline
- 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
Summary of User Reviews
Wharton People Analytics course has received positive reviews from its users with a focus on the practical use of data to solve HR problems. The course has been praised for its well-structured content and insightful case studies.Key Aspect Users Liked About This Course
Practical use of data to solve HR problemsPros from User Reviews
- Well-structured content
- Insightful case studies
- In-depth knowledge of people analytics
- Real-life examples
- Engaging and interactive content
Cons from User Reviews
- Requires prior knowledge of HR
- Some topics are repetitive
- Limited focus on diversity and inclusion
- Not suitable for beginners
- Lack of personalized feedback
Cade Massey
4.5 Raiting
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