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Learner Reviews & Feedback for People Analytics by University of Pennsylvania

4.6
stars
6,134 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

SK

Apr 14, 2017

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.

PJ

Apr 23, 2020

The course was great. I learned a pretty new things and the way facilitators portray this course was fabulous. Thank you for designing this course. It is a pretty good deal. Thank you again.

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751 - 775 of 1,146 Reviews for People Analytics

By Kohil N

•

Nov 7, 2019

Loved it

By Artem S A

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Apr 14, 2016

Noiiice!

By Nour

•

Nov 16, 2024

Amazing

By Jingyuan Z

•

Dec 11, 2017

like it

By paget t

•

Dec 10, 2024

thanks

By Ugoh A

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Aug 11, 2022

great

By Kamran A

•

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 b W M

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Jul 4, 2016

great

By VASANTH

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Oct 7, 2025

good

By Linda C

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Feb 15, 2025

good

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

•

Jun 11, 2016

Done

By Ibrahim F

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Nov 16, 2024

.

By AARUSHI S

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Aug 6, 2022

-

By yu z

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Jul 26, 2021