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Learner Reviews & Feedback for People Analytics by University of Pennsylvania

4.6
stars
6,160 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

PJ

Apr 24, 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.

SS

Jul 7, 2019

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.

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726 - 750 of 1,150 Reviews for People Analytics

By 21265A6704 P A

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May 30, 2023

so helpful

By Franklin R

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Nov 10, 2021

Excellent!

By Gisley P

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Mar 29, 2020

Very Good!

By Vinicius d S

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Jan 22, 2020

Muito bom!

By Carlos D

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Nov 26, 2019

Excelente!

By Samuel F

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Jul 2, 2018

Excellent!

By Mónica L A

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Jan 22, 2018

I loved it

By 罗成毅

•

Dec 29, 2017

thank you！

By mvs s

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Oct 4, 2017

Very Good.

By Luis R U N

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Aug 26, 2017

Excellent!

By Rafael J B

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Nov 19, 2016

Excellent!

By Majid A

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Mar 13, 2016

Excellent!

By SUBRATA H C

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Dec 15, 2015

excellent.

By Roxy N

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Dec 30, 2025

excellent

By Yusak A

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Apr 22, 2023

Excellent

By Vivek S

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May 27, 2021

Excellent

By Anwar J M A K

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May 18, 2021

Excellent

By Deepak Y

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May 8, 2020

excellent

By Shaik I

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Sep 24, 2019

fantastic

By Mahesh T

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Aug 31, 2018

Very good

By Joseph E

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Nov 25, 2017

beautiful

By Diego A P G

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Mar 26, 2017

Excellent

By MANISHA M

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Oct 9, 2016

excellent

By Liang C

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Apr 10, 2016

Excellent

By PRAVEEN D

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Feb 8, 2016

Excellent