Informações sobre o curso
4.5
2,521 classificações
443 avaliações
Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 10 horas para completar

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

Inglês

Legendas: Inglês, Chinês (simplificado)

Habilidades que você terá

Talent ManagementAnalyticsPerformance ManagementCollaboration
Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 10 horas para completar

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

Inglês

Legendas: Inglês, Chinês (simplificado)

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
2 horas para concluir

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 videos (Total 83 min), 2 leituras, 1 teste
Video11 videos
Goals for the Course1min
Course Outline and Overview3min
People Analytics in Practice4min
Performance Evaluation: the Challenge of Noisy Data6min
Chance vs. Skill: the NFL Draft22min
Finding Persistence: Regression to the Mean11min
Extrapolating from Small Samples5min
The Wisdom of Crowds: Signal Independence5min
Process vs. Outcome7min
Summary of Performance Evaluation3min
Reading2 leituras
Performance Analytics Slides PDF10min
People Analytics in Action: Additional Reading10min
Quiz1 exercício prático
Performance Evaluation Quiz20min
Semana
2
Horas para completar
2 horas para concluir

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 videos (Total 73 min), 2 leituras, 1 teste
Video12 videos
Staffing Analytics Overview2min
Hiring 1: Predicting Performance8min
Hiring 2: Fine-tuning Predictors9min
Hiring 3: Using Data Analysis to Predict Performance7min
Internal Mobility 1: Analyzing Promotibility4min
Internal Mobility 2: Optimizing Movement within the Organization8min
Causality 15min
Causality 26min
Attrition: Understanding and Reducing Turnover10min
Turnover: Predicting Attrition7min
Staffing Analytics Conclusionmin
Reading2 leituras
Staffing Analytics Slides PDF10min
Staffing Analytics in Action: Additional Reading10min
Quiz1 exercício prático
Staffing Quiz20min
Semana
3
Horas para completar
2 horas para concluir

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 videos (Total 75 min), 2 leituras, 1 teste
Video7 videos
Basics of Collaboration5min
Describing Collaboration Networks14min
Mapping Collaboration Networks16min
Evaluating Collaboration Networks10min
Measuring Outcomes9min
Intervening in Collaboration Networks18min
Reading2 leituras
Collaboration Slides PDF10min
Collaboration Research in Action: Additional Readings10min
Quiz1 exercício prático
Collaboration Quiz20min
Semana
4
Horas para completar
2 horas para concluir

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 videos (Total 85 min), 2 leituras, 1 teste
Video9 videos
Interdependence6min
Self-fulfilling Prophecies9min
Reverse Causality4min
Special Topics: Tests and Algorithms5min
Prescriptions: Navigating the Challenges of Talent Analytics15min
Course Conclusion: Organizational Challenges 110min
Course Conclusion: Organizational Challenges 2 and Future Directions19min
Goodbye and Good Luck!min
Reading2 leituras
Talent Analytics and Conclusion Slides PDF10min
Talent Management in Action: Additional Readings10min
Quiz1 exercício prático
Talent Management Quiz20min
4.5
443 avaliaçõesChevron Right
Direcionamento de carreira

33%

comecei uma nova carreira após concluir estes cursos
Benefício de carreira

83%

consegui um benefício significativo de carreira com este curso
Promoção de carreira

13%

recebi um aumento ou promoção

Melhores avaliações

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.

por 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!

Instrutores

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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

Sobre 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. ...

Sobre o Programa de cursos integrados Business Analytics

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....
Business Analytics

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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