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Retour à analyse des personnes

Avis et commentaires pour d'étudiants pour analyse des personnes par Université de Pennsylvanie

5,522 évaluations
1,037 avis

À propos du cours

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....

Meilleurs avis


21 déc. 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.


4 oct. 2020

detailed, yet high level enough to bring any specialist into the subject. provides useful information that is beyond people analytics. very recommended or any level/specification HR professional.

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451 - 475 sur 1,031 Avis pour analyse des personnes

par Siddharth p

31 janv. 2018

great coverage of vast array of topics..thanks a ton

par Sameer B

4 avr. 2021

ONA! What a damn concept. Blew my mind! Keep it up!

par Ghazal R

27 avr. 2020

Loved the instruction material and the instructors.

par Priyanka T

21 janv. 2020

Had a great leaning of people analytics course.😀😊

par Kee K Y

31 déc. 2015

Great course with much insights in people analytic!

par sadhna d

21 déc. 2020

Very structured, focused information, great videos

par Avirup G

20 juil. 2020

A very important course on a very crucial subject!

par Dennis D J

3 mars 2019

Great course with engaging content and professors!

par Mostafa A M I

17 déc. 2017

wonderful course to manage and influence people...

par Ramesh M

18 janv. 2017

Excellent course very well thought by the faculty

par Prabhakar G V

2 févr. 2021

Insightful, informative and analytical. Thank you

par Sofía L L

29 nov. 2020

It was a great introduction for people analytics.

par Omkar S T

19 sept. 2020

This Course is amazing for human resource faculty

par Noble P

27 mai 2020

Very succinct and practical with Wharton quality!

par Rajith R

4 mars 2017

Very nice course. Highly recommended for Beginner

par Ramesh J

15 janv. 2022

Perfectly designed and must for people managers.

par Charles S

28 déc. 2021

Clear and precise instruction on relevant topics

par Tharindu N

7 nov. 2020

I gained lot of knowledge on business analytics!

par Federico A

31 juil. 2020

Muy buen curso introductorio del tema: Analytics

par José d J D L C G

10 déc. 2015

Excellent course amd teachers!! Congratulations!

par Vivek G N

22 août 2020

Great course to start your HR Analytics journey

par Debasis D

7 mai 2020

A great learning experience. Excellent faculty.

par mayaruan

22 avr. 2020

This more Application Area for People Analytics

par LN Y A

28 sept. 2016

Great course! Thank you Wharton and Coursera :)

par Oxana K

9 août 2016

Very nice, useful and inspiring course. Thanks!