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

4.5
stars
3,526 évaluations
•
601 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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576 - 592 sur 592 Avis pour People Analytics

par Sharath H N

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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 K P

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Sep 28, 2019

I kind of felt that this course only dealt with theory and did not delve deeper into applications and real life problems unlike the course on operational analytics.

par Agustín D P

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Jun 06, 2019

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

par Menelaos M

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Jun 12, 2016

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

par Khadija H

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Feb 11, 2017

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

par Ling R

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Aug 16, 2019

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

par Rylan H

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May 28, 2018

Lacking on the analytics side of things. Too superficial.

par Álvaro G d S A

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Apr 29, 2019

I EXPECTED MORE, I MISSED MORE PRACTICAL

par Jigisha T

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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 Johann Q

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Oct 06, 2019

Just lectures. No skill building. How to use People Analytics?

Learning by Doing create skills not boring lectures.

unnecessary complicated.

par LAXDIP P

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Sep 30, 2016

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

par Jonathan Z

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Feb 07, 2016

Extremely interesting concepts. But absolutely zero takeaways. The course seemed afraid of passing on any secret knowledge of "analysts".

par Sheryar P

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Mar 28, 2016

The Capstone project has been getting delayed since Jan

Dont expect yourself to complete the specialization

par Jorge M C P

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Mar 21, 2019

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

par Grant I

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Aug 24, 2017

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

par Sizhe S

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Jan 15, 2018

only introductory. dont expect any in-depth content

par Vibhooti C

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Mar 07, 2018

Not good content.