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

4.5
étoiles
5,371 évaluations
1,015 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

AA
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.

AK
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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776 - 800 sur 1,007 Avis pour analyse des personnes

par Manoj K S

19 janv. 2018

Very useful for students, who need to gather the basics of people analytics.

Expecting an intermediate / advanced level course for people analytics.

par Thitiwat

16 avr. 2021

A great introduction to HR analytics, but still need to seek for another course to fulfill some knowledge that this course did not drill in depth.

par Amresh S

7 mai 2020

Great introduction to people analytics. I would have preferred a few assignments with given data sets included to gain more practical exposure.

par Mithun A

2 mai 2020

Insightful and a lot of concepts were new. Right pace. An opportunity to implement the analytics on an actual case study would have been great.

par Adaobi O

5 juin 2020

I think the course was quite insightful for a beginner's class. It would be interesting to see some practical application to real HR Issues.

par Shaleen S

15 juil. 2020

Very informative, would have loved to look at some sample models in excel to complement the lecture to see how it is done in the real world

par Jean C G

3 juil. 2020

Week 3 and week 4 topics were the best sources of concepts and applications in HR analytics, talent management and performance assessments.

par Anindita D M

17 août 2017

A good overview.

I think there should be a reference or link to courses on statistics one should take up to understand the concepts better.

par Kunal G

21 mars 2021

Overall, a great course to go ahead with. Gives you a detailed explanations about every aspects of People Analytics with great examples.

par Srinivasan N

22 août 2018

Informative ,squeezes our brains to think practically of how a firm works when it comes to the employees and its performance retention .

par Mahdi J

24 déc. 2018

It was a pretty good course but it would be much better if they provided some real examples conducted by having these notions in mind .

par S. M

2 mars 2018

Nice high level introduction on how analytics is used in various stages of resourcing from hiring, working and growing human capital.

par Ricardo D A R

17 août 2016

Awesome, great analysis and studies. I would like to show how the regression models works and how they can be applied to the company!

par Jacob A F

18 juin 2016

Could have used some more quantitative examples, but still transformed the I looked at inter-company people management and networking

par Marcella T

13 févr. 2018

Very useful for a start on People Analytics, to understand the impacts and the knowledge you need to better get the overall picture

par Ashwarya S

2 août 2020

It needs to have prior understanding of a lot of other subjects wand there should have been a brief module explaining those topics

par Noah W

29 mai 2017

Sometimes dry but the information was relevent and good examples to use for organizations, maybe too many sports based examples.

par Atif A

14 déc. 2017

This course was really helpful in building my concepts of what people analytics is and how is it being practiced in real world.

par Blake

13 août 2020

Tests questions weren't nearly as open ended as the Customer Analytics course. Good information for Talent Mgmt professionals!

par Honghai Y

25 avr. 2016

I hope the course can be longer and goes into more detail. Also, it would be helpful if the assignments are open to everyone.

par SeifAllah R

3 août 2020

Very informative and provides a good foundation on the subject. It would be good to add some application for the analytics

par HARPREET K

16 avr. 2020

it was one of the best course that i have come across on coursera. it was a wonderful experience learning people analytics

par Sergio H

2 sept. 2016

Wonderful and to the point course. Would maybe try to make it a bit more practical and add real-life business activities.

par Rik v E

3 janv. 2016

I thought it was challenging. There might be some evaluation how to approach the multiple choice questions of the quizzes.

par Luis V

23 oct. 2016

it is very interesting, but would like to see more practical use cases and how to apply them using excel for example. tha