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

Useful but not very applied. This course will help you in thinking against some latent biases we hold or are subjected to, but to really apply these ideas at work or life, you need to be creative in devising solutions and be in position of implementing or influencing the intended changes.

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.

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.

The staffing module is very good, the collaboration module is relatively fine but the other modules need to be revised with practical examples from organizations. The examples from a football league to me is not relevant that is a totally different context.

A very gentle introduction into a possibly highly exciting field. Should incorporate mathematical practice problems into case studies so that students can see where wrong assumptions are made and common human biases.

Coursera is a global Platform. Examples cited in the course can be more common that can be understood by people all across the globe. Examples of NFL and Hollywood movies may not be very well understood by everyone.

Interesting theories but not very practical. Could have gone deeper here and shown students real-life examples, inclusive of raw data, analysis, and conclusions. That said, this course is still an incredible value.

The course was very high level. Most of the points were presented very generic. It would be good if there was more pratical information on how real analytics can be used. Some exercise on how the tools are used.

It good, and the theories are really great, though seemed too academically focused. I was hoping in addition, to get some more of the practical daily stuff we deal with at work. But really insightful.

Language was understandable enough but adding subtitles would be effective for others to learn as well. Give examples from other parts of the world as well. Rest everything was good

The course is good as an introduction to people analytics. The title can be suitably modified to reflect this. I would be happier to see more rigour and depth added to the course.

It is a little bit about theory, and lacks real exercises (even if there were some practical examples from real life). The most interesting topic is for sure the Collaboration.

I think the content course should bring a better framework to support HR Business Analyses. So far so much conceptual not real tools to use day to day.

Useful in order to have a high level picture of each single aspect regarding Business Analytics. Maybe not to "exciting" for practical analysts

I appreciate the professors, but I really hope we can have some hands on tools on how exactly can we analyze the data to make decisions.

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

Learnt some concepts however, not a detailed example/ support with project would have helped. too much introductory

Good insights into people management concepts. The course can do better by providing some more analytics examples.

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

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

The course is interesting however in terms of take aways, it is more conceptual than practical

The course was good but I was expecting more in terms of application by running a data set.

Though the Course is more theoretical some of the examples discussed are hard to comprehend

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

if u give us a explanation why it wrong write there it will be usefull to all of us