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

5,369 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

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.

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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651 - 675 sur 1,007 Avis pour analyse des personnes

par Artem A

14 avr. 2016


par Jingyuan Z

11 déc. 2017

like it

par Nelson M C

13 avr. 2021


par Manasvee M K

28 déc. 2018


par Wan A b W M

4 juil. 2016


par Aditya M P

26 août 2020


par Jurong G

15 août 2019


par ANUJ K Y

2 nov. 2018


par Kuljeet K

1 mars 2017


par Debanjan P

24 juin 2016


par Ishak S

11 juin 2016


par yu z

26 juil. 2021

par Shaharol N B M

5 déc. 2018


par Govind R A

1 août 2017



30 mai 2017


par Christian G

2 août 2016


par Laurentiu B

9 déc. 2015


par angana b m

16 juin 2016

The course was very informational. A lot of the concepts were new but very practical, as much as were the typical theories we deal with everyday in our corporate lives.

As much as I appreciate the course content, I had expected more metrics to be discussed, more maths, more problem solving, a session on a set of metrics, formulae, some business cases as a part of evaluation would have been more realistic. I deal with lot of analytics and numbers always. I do a set number of things. I was expecting the professors to guide us on more number crunching techniques with say, an excel of data of say 1000 employees. How do we play around with such data - which is what I do. And a thorough insight on such would have been amazing.

I hope my feedback is taken into consideration in a positive light. I loved your sessions, and would love to join in the future again, and it would be really helpful if you could guide us in some of the ways I tried to explain.

Thank once again.



par Joe D

21 janv. 2016

Pretty good. Cade's analysis of the NFL draft is the highlight of the course and one of my favorite videos in the entire Wharton BA series. Overall the course gets kind of depressing towards the end as you realize how noisy this data is and how tough it is to get access to.

Martine's network analysis module is pretty cool. It would not have been overload to work in some of the calculations of network metrics, though, and they would have made for better quiz items. I'll have to be honest, though. I'm not very hopeful about ever being able to use this kind of analysis in the workspace.

Matthew's module was ok but I thought could have used more hard examples. Maybe some research from law enforcement or some field with lots of pre-tests could be used to illustrate regression and some of those techniques.

par AMAR K

3 juin 2020

It was great learning from such experienced mentors and they got us very deep insights of research. however there were some grey lines as per me, methodologies, and actual working was expected from my side and practical application. Secondly, the language issue, as they were very clear about the language but the frequency and the level they were talking was a bit difficult to catch but watching it twice or thrice can help, that's not much of an issue. well apart from the issues that i have mentioned i more of a positive perspective towards this course, making the concept clear was the brightest side of the course and recommend even others to pursue this course and additional linking course that will be a great help in the analytical world.

par Shailesh S

18 déc. 2015

Very nice foundation level course. Based on many courses I have taken so far, I have high expectations from the ones offered by Wharton (Univ of Pennsylvania), this one met the expectations. Good content at even at introductory level. At least for weeks 1 to 3. Week 4 was a bit weak, not much substance, can use some modifications for making it better. Thanks to professors for sharing their knowledge and all the people involved in producing it. Some quiz questions weren't good (not clear from Q as well as A perspectives), and I wish the course had more interactions with professors, other students and community TAs. And, of course, a free "Statement of Accomplishment" would have been awesome. In any case, overall good course, worth taking.

par Vishnu M R

28 avr. 2020

Module 1 was particularly difficult to understand because it involved a lot of statistics.Whereas the other modules were relatively easier to grasp.Also some of the examples given were in American context it is difficult for non Americans to understand the examples such as NFL, Baseball etc.If the examples were chosen based on the most popular sports (universally played sports) such as football or tennis it would have been more easier to grasp.Also as a precursor to this course, one can introduce the basics of statistics which will help us understand the statistical examples, tools and algorithms that you are covering in the "People Analytics" Course.Overall I liked the course except for the few things mentioned above.

par Sampurna M

27 avr. 2020

This is a great course that provides a comprehensive overview of People Analytics concepts and applications. I'd strongly recommend it to HR professionals looking to understand this burgeoning field. It really got me thinking about applications in my own organisation. Two ways in which this course might be improved - first, some of the examples could be more tailored to an international audience (case studies on American sports are difficult to follow if you're not familiar with the rules and terminology) , and second, including more practical examples of the statistical methods mentioned would help bring the theory to life.

par Sugandha S

17 oct. 2016

Great course to get the basic knowledge of People Analytics. Looking forward to learning more about it. The professors have done a great job explaining every point.

The reason I gave this course 4 stars and not 5 is because I felt the use of sports examples was a bit hard for me to relate to and understand. To some extent it made sense but if you don't know much about sports, it might be a bit hard to grasp an understanding right away.

But overall, I would recommend this course to anyone interested in learning more about hiring, organizational challenges, people analytics in general.

par Jonas O

2 janv. 2019

Really liked the course. The only thing is I find it dives too quickly into specific examples and approaches, while I would have expected an introductory course on People Analytics to remain more general. E.g. this is what I found in the last part of the course: how to be a good analyst, how to build a people analytics team, how to influence your organization. I would have expected these last topics to be the main part of the course.

Excellent use of online tools, e.g. I also appreciated the combination of videos, quiz and reading.