課程信息
4.5
2,343 ratings
417 reviews
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....
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建議:4 weeks of study, 1-2 hours/week

完成時間大約為9 小時
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English

字幕:English, Chinese (Simplified)

您將獲得的技能

Talent ManagementAnalyticsPerformance ManagementCollaboration
Stacks

Course 3 of 5 in the

Globe

100% 在線課程

立即開始,按照自己的計劃學習。
Calendar

可靈活調整截止日期

根據您的日程表重置截止日期。
Clock

建議:4 weeks of study, 1-2 hours/week

完成時間大約為9 小時
Comment Dots

English

字幕:English, Chinese (Simplified)

教學大綱 - 您將從這門課程中學到什麼

1

章節
Clock
完成時間為 2 小時

Introduction to People Analytics, and Performance Evaluation

In this module, you'll meet Professors Massey, Bidwell, and Haas, cover the structore and scope of the course, and dive into the first topic: Performance Evaluation. Performance evaluation plays an influential role in our work lives, whether it is used to reward or punish and/or to gather feedback. Yet its fundamental challenge is that the measures we used to evaluate performance are imperfect: we can't infer how hard or smart an employee is working based solely on outcomes. In this module, you’ll learn the four key issues in measuring performance: regression to the mean, sample size, signal independence, and process vs. outcome, and see them at work in current companies, including an extended example from the NFL. By the end of this module, you’ll understand how to separate skill from luck and learn to read noisy performance measures, so that you can go into your next performance evaluation sensitive to the role of chance, knowing your environment, and aware of the four most common biases, so that you can make more informed data-driven decisions about your company's most valuable asset: its employees....
Reading
11 個視頻(共 83 分鐘), 2 個閱讀材料, 1 個測驗
Video11 個視頻
Goals for the Course1分鐘
Course Outline and Overview3分鐘
People Analytics in Practice4分鐘
Performance Evaluation: the Challenge of Noisy Data6分鐘
Chance vs. Skill: the NFL Draft22分鐘
Finding Persistence: Regression to the Mean11分鐘
Extrapolating from Small Samples5分鐘
The Wisdom of Crowds: Signal Independence5分鐘
Process vs. Outcome7分鐘
Summary of Performance Evaluation3分鐘
Reading2 個閱讀材料
Performance Analytics Slides PDF10分鐘
People Analytics in Action: Additional Reading10分鐘
Quiz1 個練習
Performance Evaluation Quiz20分鐘

2

章節
Clock
完成時間為 2 小時

Staffing

In this module, you'll learn how to use data to better analyze the key components of the staffing cycle: hiring, internal mobility and career development, and attrition. You'll explore different analytic approaches to predicting performance for hiring and for optimizing internal mobility, to understanding and reducing turnover, and to predicting attrition. You'll also learn the critical skill of understanding causality so that you can avoid using data incorrectly. By the end of this module, you'll be able to use data to improve the quality of the decisions you make in getting the right people into the right jobs and helping them stay there, to benefit not only your organization but also employee's individual careers. ...
Reading
12 個視頻(共 73 分鐘), 2 個閱讀材料, 1 個測驗
Video12 個視頻
Staffing Analytics Overview2分鐘
Hiring 1: Predicting Performance8分鐘
Hiring 2: Fine-tuning Predictors9分鐘
Hiring 3: Using Data Analysis to Predict Performance7分鐘
Internal Mobility 1: Analyzing Promotibility4分鐘
Internal Mobility 2: Optimizing Movement within the Organization8分鐘
Causality 15分鐘
Causality 26分鐘
Attrition: Understanding and Reducing Turnover10分鐘
Turnover: Predicting Attrition7分鐘
Staffing Analytics Conclusion分鐘
Reading2 個閱讀材料
Staffing Analytics Slides PDF10分鐘
Staffing Analytics in Action: Additional Reading10分鐘
Quiz1 個練習
Staffing Quiz20分鐘

3

章節
Clock
完成時間為 2 小時

Collaboration

In this module, you'll learn the basic principles behind using people analytics to improve collaboration between employees inside an organization so they can work together more successfully. You'll explore how data is used to describe, map, and evaluate collaboration networks, as well as how to intervene in collaboration networks to improve collaboration using examples from real-world companies. By the end of this module, you'll know how to deploy the tools and techniques of organizational network analysis to understand and improve collaboration patterns inside your organization to make your organization, and the people working within in it, more productive, effective, and successful. ...
Reading
7 個視頻(共 75 分鐘), 2 個閱讀材料, 1 個測驗
Video7 個視頻
Basics of Collaboration5分鐘
Describing Collaboration Networks14分鐘
Mapping Collaboration Networks16分鐘
Evaluating Collaboration Networks10分鐘
Measuring Outcomes9分鐘
Intervening in Collaboration Networks18分鐘
Reading2 個閱讀材料
Collaboration Slides PDF10分鐘
Collaboration Research in Action: Additional Readings10分鐘
Quiz1 個練習
Collaboration Quiz20分鐘

4

章節
Clock
完成時間為 2 小時

Talent Management and Future Directions

In this module, you explore talent analytics: how data may be used in talent assessment and development to maximize employee ability. You'll learn how to use data to move from performance evaluation to a more deeper analysis of employee evaluation so that you may be able to improve the both the effectiveness and the equitability of the promotion process at your firm. By the end of this module, you'll will understand the four major challenges of talent analytics: context, interdependence, self-fulfilling prophecies, and reverse causality, the challenges of working with algorithms, and some practical tips for incorporating data sensitively, fairly, and effectively into your own talent assessment and development processes to make your employees and your organization more successful. In the course conclusion, you'll also learn the current challenges and future directions of the field of people analytics, so that you may begin putting employee data to work in a ways that are smarter, practical and more powerful....
Reading
9 個視頻(共 85 分鐘), 2 個閱讀材料, 1 個測驗
Video9 個視頻
Interdependence6分鐘
Self-fulfilling Prophecies9分鐘
Reverse Causality4分鐘
Special Topics: Tests and Algorithms5分鐘
Prescriptions: Navigating the Challenges of Talent Analytics15分鐘
Course Conclusion: Organizational Challenges 110分鐘
Course Conclusion: Organizational Challenges 2 and Future Directions19分鐘
Goodbye and Good Luck!分鐘
Reading2 個閱讀材料
Talent Analytics and Conclusion Slides PDF10分鐘
Talent Management in Action: Additional Readings10分鐘
Quiz1 個練習
Talent Management Quiz20分鐘
4.5
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33%

完成這些課程後已開始新的職業生涯
Briefcase

83%

通過此課程獲得實實在在的工作福利
Money

13%

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創建者 PNJul 28th 2017

This is a very well defined course to give a very good start to the knowledge of People Analytics. The professors have brought in numerous examples to make the understanding of analytics better.

創建者 STMar 18th 2017

Real helpful course especially for individuals who are in HR field or interested in becoming a better leaders, team players. Professors incorporated data analytics into human talent management!

講師

Cade Massey

Practice Professor
The Wharton School

Martine Haas

Associate Professor of Management
The Wharton School

Matthew Bidwell

Associate Professor of Management
The Wharton School

關於 University of Pennsylvania

The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies. ...

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常見問題

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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