Acerca de este Curso
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484 revisiones

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Aprox. 11 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English), Chino (simplificado)

Habilidades que obtendrás

Talent ManagementAnalyticsPerformance ManagementCollaboration

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Aprox. 11 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English), Chino (simplificado)

Programa - Qué aprenderás en este curso

2 horas para completar

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 videos (Total 83 minutos), 2 readings, 1 quiz
11 videos
Goals for the Course1m
Course Outline and Overview3m
People Analytics in Practice4m
Performance Evaluation: the Challenge of Noisy Data6m
Chance vs. Skill: the NFL Draft22m
Finding Persistence: Regression to the Mean11m
Extrapolating from Small Samples5m
The Wisdom of Crowds: Signal Independence5m
Process vs. Outcome7m
Summary of Performance Evaluation3m
2 lecturas
Performance Analytics Slides PDF10m
People Analytics in Action: Additional Reading10m
1 ejercicio de práctica
Performance Evaluation Quiz20m
2 horas para completar


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 videos (Total 73 minutos), 2 readings, 1 quiz
12 videos
Staffing Analytics Overview2m
Hiring 1: Predicting Performance8m
Hiring 2: Fine-tuning Predictors9m
Hiring 3: Using Data Analysis to Predict Performance7m
Internal Mobility 1: Analyzing Promotibility4m
Internal Mobility 2: Optimizing Movement within the Organization8m
Causality 15m
Causality 26m
Attrition: Understanding and Reducing Turnover10m
Turnover: Predicting Attrition7m
Staffing Analytics Conclusion49s
2 lecturas
Staffing Analytics Slides PDF10m
Staffing Analytics in Action: Additional Reading10m
1 ejercicio de práctica
Staffing Quiz20m
2 horas para completar


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 videos (Total 75 minutos), 2 readings, 1 quiz
7 videos
Basics of Collaboration5m
Describing Collaboration Networks14m
Mapping Collaboration Networks16m
Evaluating Collaboration Networks10m
Measuring Outcomes9m
Intervening in Collaboration Networks18m
2 lecturas
Collaboration Slides PDF10m
Collaboration Research in Action: Additional Readings10m
1 ejercicio de práctica
Collaboration Quiz20m
2 horas para completar

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 videos (Total 85 minutos), 2 readings, 1 quiz
9 videos
Self-fulfilling Prophecies9m
Reverse Causality4m
Special Topics: Tests and Algorithms5m
Prescriptions: Navigating the Challenges of Talent Analytics15m
Course Conclusion: Organizational Challenges 110m
Course Conclusion: Organizational Challenges 2 and Future Directions19m
Goodbye and Good Luck!32s
2 lecturas
Talent Analytics and Conclusion Slides PDF10m
Talent Management in Action: Additional Readings10m
1 ejercicio de práctica
Talent Management Quiz20m
484 revisionesChevron Right


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Principales revisiones

por 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.

por 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.



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

Acerca de Universidad de Pensilvania

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. ...

Acerca del programa especializado Análisis comercial

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....
Análisis comercial

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