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学生对 宾夕法尼亚大学 提供的 人力资源分析 的评价和反馈

4.5
3,400 个评分
586 个审阅

课程概述

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....

热门审阅

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.

筛选依据:

551 - 人力资源分析 的 574 个评论(共 574 个)

创建者 Sai K S

Sep 24, 2018

Not very valuable compared to other analytics courses.

创建者 CHI Z

Aug 11, 2018

ordinary

创建者 IMRAN K

Sep 16, 2019

Very rudimetary though well explained

创建者 Ayusman S

Oct 06, 2019

expecting more practical examples

创建者 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).

创建者 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.

创建者 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.

创建者 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.

创建者 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.

创建者 Rylan H

May 28, 2018

Lacking on the analytics side of things. Too superficial.

创建者 Álvaro G d S A

Apr 29, 2019

I EXPECTED MORE, I MISSED MORE PRACTICAL

创建者 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.

创建者 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.,

创建者 Ling R

Aug 16, 2019

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

创建者 K P

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.

创建者 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.

创建者 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.

创建者 Sheryar P

Mar 28, 2016

The Capstone project has been getting delayed since Jan

Dont expect yourself to complete the specialization

创建者 Grant I

Aug 24, 2017

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

创建者 Vibhooti C

Mar 07, 2018

Not good content.

创建者 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....

创建者 Sizhe S

Jan 15, 2018

only introductory. dont expect any in-depth content

创建者 Jonathan Z

Feb 07, 2016

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

创建者 Johann Q

Oct 06, 2019

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

Learning by Doing create skills not boring lectures.

unnecessary complicated.