People Analytics

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.

OpenCourser is compensated by Coursera. Learn more.

From Coursera
Institution University of Pennsylvania
Instructors Cade Massey, Martine Haas, Matthew Bidwell
Length 4 weeks of study, 1-2 hours/week
Price Free (with limitations) or $99 for a Verified Certificate
Language English (English)
Subjects Data Science Data Analysis Business Leadership And Management
Rating
No reviews yet.

Like this course?

Save it for later.

This course teaches valuable skills

$77,000

Annual Salary

Estimated earnings for individuals who use skills taught in this course. Figure based on US average salary and career skills data.

Write a review

Reviews for this course

No reviews yet.

What learners are saying BETA

especially liked staffing

...I think, it depends on the practical issues you struggle now.