课程信息
4.5
2,515 个评分
442 个审阅
专项课程
100% 在线

100% 在线

立即开始,按照自己的计划学习。
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完成时间(小时)

完成时间大约为10 小时

建议:4 weeks of study, 1-2 hours/week...
可选语言

英语(English)

字幕:英语(English), 中文(简体)

您将获得的技能

Talent ManagementAnalyticsPerformance ManagementCollaboration
专项课程
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为10 小时

建议:4 weeks of study, 1-2 hours/week...
可选语言

英语(English)

字幕:英语(English), 中文(简体)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 2 小时

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 个视频 (总计 83 分钟), 2 个阅读材料, 1 个测验
Video11 个视频
Goals for the Course1分钟
Course Outline and Overview3分钟
People Analytics in Practice4分钟
Performance Evaluation: the Challenge of Noisy Data6分钟
Chance vs. Skill: the NFL Draft22分钟
Finding Persistence: Regression to the Mean11分钟
Extrapolating from Small Samples5分钟
The Wisdom of Crowds: Signal Independence5分钟
Process vs. Outcome7分钟
Summary of Performance Evaluation3分钟
Reading2 个阅读材料
Performance Analytics Slides PDF10分钟
People Analytics in Action: Additional Reading10分钟
Quiz1 个练习
Performance Evaluation Quiz20分钟
2
完成时间(小时)
完成时间为 2 小时

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 个视频 (总计 73 分钟), 2 个阅读材料, 1 个测验
Video12 个视频
Staffing Analytics Overview2分钟
Hiring 1: Predicting Performance8分钟
Hiring 2: Fine-tuning Predictors9分钟
Hiring 3: Using Data Analysis to Predict Performance7分钟
Internal Mobility 1: Analyzing Promotibility4分钟
Internal Mobility 2: Optimizing Movement within the Organization8分钟
Causality 15分钟
Causality 26分钟
Attrition: Understanding and Reducing Turnover10分钟
Turnover: Predicting Attrition7分钟
Staffing Analytics Conclusion分钟
Reading2 个阅读材料
Staffing Analytics Slides PDF10分钟
Staffing Analytics in Action: Additional Reading10分钟
Quiz1 个练习
Staffing Quiz20分钟
3
完成时间(小时)
完成时间为 2 小时

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 个视频 (总计 75 分钟), 2 个阅读材料, 1 个测验
Video7 个视频
Basics of Collaboration5分钟
Describing Collaboration Networks14分钟
Mapping Collaboration Networks16分钟
Evaluating Collaboration Networks10分钟
Measuring Outcomes9分钟
Intervening in Collaboration Networks18分钟
Reading2 个阅读材料
Collaboration Slides PDF10分钟
Collaboration Research in Action: Additional Readings10分钟
Quiz1 个练习
Collaboration Quiz20分钟
4
完成时间(小时)
完成时间为 2 小时

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 个视频 (总计 85 分钟), 2 个阅读材料, 1 个测验
Video9 个视频
Interdependence6分钟
Self-fulfilling Prophecies9分钟
Reverse Causality4分钟
Special Topics: Tests and Algorithms5分钟
Prescriptions: Navigating the Challenges of Talent Analytics15分钟
Course Conclusion: Organizational Challenges 110分钟
Course Conclusion: Organizational Challenges 2 and Future Directions19分钟
Goodbye and Good Luck!分钟
Reading2 个阅读材料
Talent Analytics and Conclusion Slides PDF10分钟
Talent Management in Action: Additional Readings10分钟
Quiz1 个练习
Talent Management Quiz20分钟
4.5
442 个审阅Chevron Right
职业方向

33%

完成这些课程后已开始新的职业生涯
工作福利

83%

通过此课程获得实实在在的工作福利
职业晋升

13%

加薪或升职

热门审阅

创建者 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.

创建者 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!

讲师

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Cade Massey

Practice Professor
The Wharton School
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Martine Haas

Associate Professor of Management
The Wharton School
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Matthew Bidwell

Associate Professor of Management
The Wharton School

关于 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. ...

关于 Business Analytics 专项课程

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