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Avis et commentaires pour l'étudiant pour People Analytics par Université de Pennsylvanie

4.5
3,173 notes
542 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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501 - 525 sur 530 Examens pour People Analytics

par PRABHAT K

Jul 21, 2017

Good

par Vikrant B

Jan 28, 2018

Provides a strong conceptual understanding, enlightens on what not to do. Could have been better on what to do

par Lauri S

Apr 10, 2016

While these courses have interesting subjects, the content is very light, requires little effort and hence results in little learning.

par Prabhat K

Sep 15, 2016

Very good information, what is missing is numerical approach to the problem as practice

par Serene T S H

May 05, 2016

Interesting general theories mentioned. It would be better if there real practical examples with analytic modelling are taught.

par Krzysztof S

Jan 17, 2016

The course indeed touches interesting materials. I especially found very interesting all the stories from sports domain and from real organizations. In addition, the reverse causality was interesting to here. However. Honestly, initially I was expecting to hear more specific hints and information. After the lectures, I am more aware of presented findings rather than how to implement it into organization.

par Leonardo M

Apr 12, 2017

I missed more tools and practical examples of how to implement people analytics on organizations

par Jay J

Oct 13, 2016

I enjoyed this course, especially the lectures by Cade Massey. His analogies and examples were very interesting and easy to understand. Some of the information throughout the course seemed to drag on a bit without any real purpose. But overall I would recommend this course.

par Vignesh D

Mar 13, 2016

Good Introductory course on people analytics

par Himanshu A V

Aug 02, 2018

This course was bit difficult for me. HR & Management concepts can be well explained if we have more case studies. Please include use of some real case studies in detail for underdstafing the concept. It was well done in customer analytics & operation analytics.

par Julia S

Aug 01, 2018

Good review of theory, but almost not practical application or problems to work through.

par Nafez D

Feb 20, 2016

Glances at some very interesting topics without any providing any valuable insight. Disappointing even for an introductory course. Furthermore, the course authors don't seem to have invested much in the preparation for the course (from an audio/visual perspective), from providing the learners with any additional resources, or giving them avenues for practice.

par Vitaliy Y

Mar 12, 2017

Lots of interesting facts, examples, into to approaches. Thanks. But!

Talking about challenges and ABOUT statistics doesn't teach you how to apply it to People Analytics. The course lacks practical assignments/exercises. I don't want to know that multivariate regression is difficult. Once you decided to include it in the program, I would like to see how it works applied to some hiring-later-performance case! I would like to see how to calculate network properties (centrality etc.) and see an example what great wisdom it implicates. One might argue that it's hard to squeeze it in 4*1-2 hours, but others (Ops Analytics, Accnt. Analytics) have managed just fine.

Thanks. Good luck.

par robert k

Jun 08, 2016

Relative to the other modules (e.g. Operations, Accounting) I found People Analytics mostly anecdotal with little practical application. It would be more helpful (to me) if this module had taken a more "real world" approach to show how actual analyses can be used (e.g. a case study on an actual firm, even if the name of the firm needed to be changed to protect confidentiality).

par Khadija H

Feb 11, 2017

It was unfair that I could not get the certificate even though I paid and was residing in the USA.

par Menelaos M

Jun 12, 2016

Hit and miss. Some very good portions with very interesting insights, but lost in a sea of less-interesting theorizing.

par Rylan H

May 28, 2018

Lacking on the analytics side of things. Too superficial.

par Álvaro G d S A

Apr 29, 2019

I EXPECTED MORE, I MISSED MORE PRACTICAL

par Agustín D P

Jun 06, 2019

You will obtain some basic theoretical concepts regarding analytics but nothing about actually using analytics tools and analysing data.

par Sharath H N

Jul 24, 2019

It was very theoretical. I dont know if there are any courses from a professional/practical point of view. For example, how to leverage R/Python to unearth insights, what kind of insights, etc.,

par Ling R

Aug 16, 2019

It lacks discussion on methodologies and case studies on people analytics.

par Jigisha T

Dec 13, 2018

Too theoretical. I did not find data or analytics in the sessions at all. I was expecting use of people data and carrying out analytics on the same. Examples taken by the trainers were also irrelevant for business analytics.

par Jorge M C P

Mar 21, 2019

The least you will find here is Analytics. Was expecting something more case-used and not pure theory.

par Grant I

Aug 24, 2017

A lot of theory, very little applicable detail. This class is an introduction to several id

par LAXDIP P

Sep 30, 2016

It is just introduction to people analytics... No new techniques or learning.... Customer analytics was much interesting that this one....