課程信息
50,017

第 3 門課程(共 5 門)

100% 在線

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完成時間大約為11 小時

建議:4 weeks of study, 1-2 hours/week...

英語(English)

字幕:英語(English), 中文(簡體)

您將獲得的技能

Talent ManagementAnalyticsPerformance ManagementCollaboration

第 3 門課程(共 5 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

完成時間大約為11 小時

建議:4 weeks of study, 1-2 hours/week...

英語(English)

字幕:英語(English), 中文(簡體)

教學大綱 - 您將從這門課程中學到什麼

1
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....
11 個視頻 (總計 83 分鐘), 2 個閱讀材料, 1 個測驗
11 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
2 個閱讀材料
Performance Analytics Slides PDF10分鐘
People Analytics in Action: Additional Reading10分鐘
1 個練習
Performance Evaluation Quiz20分鐘
2
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. ...
12 個視頻 (總計 73 分鐘), 2 個閱讀材料, 1 個測驗
12 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 Conclusion49
2 個閱讀材料
Staffing Analytics Slides PDF10分鐘
Staffing Analytics in Action: Additional Reading10分鐘
1 個練習
Staffing Quiz20分鐘
3
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. ...
7 個視頻 (總計 75 分鐘), 2 個閱讀材料, 1 個測驗
7 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
2 個閱讀材料
Collaboration Slides PDF10分鐘
Collaboration Research in Action: Additional Readings10分鐘
1 個練習
Collaboration Quiz20分鐘
4
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....
9 個視頻 (總計 85 分鐘), 2 個閱讀材料, 1 個測驗
9 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!32
2 個閱讀材料
Talent Analytics and Conclusion Slides PDF10分鐘
Talent Management in Action: Additional Readings10分鐘
1 個練習
Talent Management Quiz20分鐘
4.5
499 個審閱Chevron Right

28%

完成這些課程後已開始新的職業生涯

29%

通過此課程獲得實實在在的工作福利

14%

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熱門審閱

創建者 AADec 22nd 2018

Thank you so much for this very helpful module! I hope you continue to inspire HR professionals around the world to use HR Analytics as an important means to drive organizational-related decisions.

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.

講師

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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

關於 宾夕法尼亚大学

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. ...

關於 商业分析 專項課程

This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations....
商业分析

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