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Avis et commentaires pour d'étudiants pour People Analytics par Université de Pennsylvanie

4.5
étoiles
3,587 évaluations
617 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

Dec 22, 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.

PN

Jul 28, 2017

This is a very well defined course to give a very good start to the knowledge of People Analytics. The professors have brought in numerous examples to make the understanding of analytics better.

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451 - 475 sur 605 Avis pour People Analytics

par heyhey

Feb 06, 2016

Ch 1 and 4 were awesome. Ch 2 and 3 could use more real world examples and results instead of simply saying "you could run multivariate regression on your data"

par Carlos G

Jan 02, 2016

It's an interesting course that covers a fast growing business trend. Professor are well aware of the topic, and their lectures are both precise and pleasant

par Surajit M

Nov 15, 2017

Good course. Explains the importance of People Analytics in organizations and also equips us with tools which can be used to replicate the topics discussed.

par Pratikshya M

May 09, 2019

It was quite insightful to learn about all the dynamics of People Analytics and served as a good foundation to further learn in details about each topics.

par Nikhil D

Nov 06, 2019

Quite insightful, helped me a lot to understand about the importance of evaluation of employees and how analytics can come out handy to assess the same

par Nathan L c

Aug 01, 2019

As it's people oriented it's more subjective than the other course, needed a lot of time for this one and many intricate question like "what is not..."

par Witty M B

Aug 17, 2017

Superb Course on Analytics, ideal to understand all types of biases and best tools to use for Talent Analytics and in turn employee development. Witty

par Ha N

Feb 12, 2016

Good overview about people analytics. Maybe need more "technical" stuff on the materials, for example: providing dataset, tools/techniques to analyze.

par Manoj K S

Jan 19, 2018

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

Expecting an intermediate / advanced level course for people analytics.

par Anindita D M

Aug 17, 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 Srinivasan

Aug 22, 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

Dec 24, 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 Stephanie M

Mar 03, 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

Aug 17, 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

Jun 19, 2016

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

par Marcella T

Feb 13, 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 Noah W

May 29, 2017

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

par Atif A

Dec 15, 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 Honghai Y

Apr 26, 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 Sergio A H B

Sep 02, 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

Jan 03, 2016

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

par Luis V

Oct 23, 2016

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

par Justin D

Nov 22, 2017

Overall, good.

Network Analytics (i.e. mapping the relationships between individuals at an organization) was fascinating.

par Alvaro L

Feb 23, 2020

Interesting and very well presented fundamentals of people analytics concepts, uses and pros and cons in organizations

par Juan P A

Dec 29, 2015

Interesting. I would like to go way deeper in to the Analytics of everything we got since we just got basic concepts.