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Learner Reviews & Feedback for People Analytics by University of Pennsylvania

4.6
stars
5,978 ratings

About the Course

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....

Top reviews

AA

Dec 21, 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.

AJ

Jul 13, 2021

Thank you respected instructors & the instituiton for creating such a knowlegeable course. I hope to use the knowlegde gained to the utopian ideas you shared:)

Best Regards,

Ankur Jain, India

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726 - 750 of 1,121 Reviews for People Analytics

By Diego A P G

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Mar 25, 2017

Excellent

By MANISHA M

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Oct 8, 2016

excellent

By Liang C

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Apr 10, 2016

Excellent

By PRAVEEN D

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Feb 8, 2016

Excellent

By Nikitha P

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May 23, 2023

amazing!

By SPARSH A

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Jul 20, 2021

Awesome

By Kohil N

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Nov 7, 2019

Loved it

By Artem S A

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Apr 14, 2016

Noiiice!

By Jingyuan Z

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Dec 11, 2017

like it

By Ugoh A

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Aug 11, 2022

great

By Kamran A

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Dec 16, 2021

Thanks

By Nelson M C

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Apr 13, 2021

great

By Manasvee M K

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Dec 28, 2018

great

By Wan A

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Jul 4, 2016

great

By shihyang y

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Feb 15, 2024

good

By manu n

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Oct 12, 2023

good

By Stephen

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Sep 7, 2023

nice

By maddy s

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Jan 12, 2023

good

By Aditya M P

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Aug 26, 2020

Good

By Jurong G

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Aug 15, 2019

good

By ANUJ K Y

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Nov 2, 2018

good

By Kuljeet K

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Mar 1, 2017

Good

By Debanjan P

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Jun 24, 2016

good

By Ishak S

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Jun 11, 2016

Done

By AARUSHI S

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Aug 6, 2022

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