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.
Этот курс входит в специализацию ''Специализация Бизнес-аналитика'
People Analytics
от партнера
Об этом курсе
Карьерные результаты учащихся
26%
28%
14%
Приобретаемые навыки
Карьерные результаты учащихся
26%
28%
14%
Сертификат, ссылками на который можно делиться с другими людьми
100% онлайн
Курс 3 из 5 в программе
Гибкие сроки
Прибл. 11 часа на выполнение
Английский
Программа курса: что вы изучите
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.
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.
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.
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.
Рецензии
Лучшие отзывы о курсе PEOPLE ANALYTICS
Loved this course and the faculties, how they approached. But it would have been helpful with more experiments and case study on practical companies would have been there to relate to while studying.
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.
This course covered more of appreciation of analytics in HR than hard core analysis examples ( like operational analytics module). However, we get a perspective of use of analytics in People area.
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.
I loved the course, but the examples shared by the teachers could have variety to it. I don't even understand american football or NFL . It was hard for me to understand n that took lot of time.
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!
This course was a good beginner approach toward understanding human resources impact and way to drive its power toward developing business, for me as a totally beginner it was an awesome course
Excellent course! I learned more about HR and staffing strategy from this single course than the Human Resource Management specialization from the other university program offered on Coursera.
Great introduction on PA. Opens one's mind to think about various "real" issues of people management while explaining how to utilize the power of analytics to solve people management problems.
It is always important to measure the effectiveness of all the people inside an organization. Through many practical examples, this course gave me a great perspective of qualitative analysis.
A clear explanation of how analytics can be used/applied in the different aspects relevant to people management. From selection to development. Pretty well conducted and with clear examples.
Great learning --- How to manage , developing and retaining talent, improving performance with new measures and developing agile working culture.\n\nMany Thanks to Wharton and Course era !!
This course helps us to know briefly about the analytics that is used in the organization concerning its employees for their appropriate performance evaluation, staffing, and collaboration.
Professores excelentes, conteúdo com casos e várias leituras adicionais para complementar o entendimento. Estou encantada e muito animada para me aprofundar ainda mais neste tema! Obrigada!
It was a very informative course covering different aspects of Hiring, staffing, selection and analytics with respect to the different temperament and personality and performance of people
Great course that offers great insights. I've been working in HR for 5 years and this course helped me think from a completely different point of view! Definitely worth my time and effort!
I was expecting a lot from this course. from basic to advanced and more of fundamentals. this course should be floated as full specialization rather than as a part of other specialization.
Thank you for the insights, presenting a difficult topic with clarity, and helping me to grow personally and with the startups I'm now working with, to build just slighter stronger teams.
great great learning about talent managment and performance review...very ratiolan and how we can keep biasis out of our recrutment , performance evaluation and managment of people...
Good overview on applications on People Analytics. Organisation Network Analysis was very insightful. Wished all other modules went into similar level of details as Collaboration.
от партнера
Пенсильванский университет
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.
Специализация Бизнес-аналитика: общие сведения
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Зарегистрировавшись на сертификацию, вы получите доступ ко всем видео, тестам и заданиям по программированию (если они предусмотрены). Задания по взаимной оценке сокурсниками можно сдавать и проверять только после начала сессии. Если вы проходите курс без оплаты, некоторые задания могут быть недоступны.
Что я получу, оформив подписку на специализацию?
Записавшись на курс, вы получите доступ ко всем курсам в специализации, а также возможность получить сертификат о его прохождении. После успешного прохождения курса на странице ваших достижений появится электронный сертификат. Оттуда его можно распечатать или прикрепить к профилю LinkedIn. Просто ознакомиться с содержанием курса можно бесплатно.
Какие правила возврата средств?
Можно ли получить финансовую помощь?
Остались вопросы? Посетите Центр поддержки учащихся.