good course

Great stuff

Good course

Great

good

sac

NA

ok

I

I want to thank you for the lessons learned in the People Analytics course, all learning will always be about growth and development.

The different approaches given in the course, allow us to explore fields and applications in Human Resources management, which is very much needed in the vast majority of organizations and in Human Resources departments as managers of this field.

I want to give you feedback on the opportunities presented in the course from the perspective of Business Analytics as a package of the 4 courses included:

1. There is no uniformity in the structure of the 4 courses, i.e. the training model is not systematic. There is no uniformity in the structure of the four courses, that is, the training model is not systematic. It seems that each course is independent of the other, and even if it is, it does not maintain a uniformity in what is offered as a model of key analytics: 1.

2. It seems that the same mistake is made that the same material in People Analytics points out, that is, while in the operational areas of the business, financial and commercial, the Business Analytics course works with numbers, excel sheets, calculations, and "dragging the pencil" in the People Analytics course is left to verbal word management, this is a great weakness in organizations, and it is evident in the development model of this part of the analytics course: presentation, slides, verbalized examples, and additional literature, but even in the case of the Collaboration Networks theme, we do not work hand in hand with the participant in developing a network on paper, let alone arrive at calculations of density, centricity, etc

3. There is a great opportunity to raise the standard of this module of People Analytics, when there is already updated literature as THE POWER OF PEOPLE from Harvard, or The Financial Analytics for HR Managers, where you can apply the tools that you offer for example in Operation Analytics, as the SOLVER model to optimize objectives, take them to projects of personnel management to optimize processes.

In this sense I feel a bit disappointed as a "customer" of the Business Analytics course, where some key concepts that they expose, are not taken to themselves in the course model itself.

This is something that the managers of the University of Pennsylvania should review, and work more with the user approach as a purchasing experience.

It leads me to think that both they are using this same information and what is reviewed in the forums, as to be direct and immediate input to make adjustments to their training processes, which coupled with the online system there is no replication to interact in a timely manner with teachers and management.

I mention this not in order to make a claim, but rather as a measure of congruence with the value and scope of the topic.

One thing I have learned with you, is that everything must lead us to maximize the result to the expected goal, in the midst of restrictions and with a leverage strategy. This takes me beyond asking myself, but rather raising, that this same scope of optimization models is not being carried out in the course methodology.

Still, I am grateful for the contribution they have made in the People Analytics course, to the extent that it has been given.

Thank you very much.

JOEL ESTRADA ESTRADA

Translated with www.DeepL.com/Translator (free version)

It broadly outlines the issues and challenges any one implementing HR analytics might face. It talked about the possible pitfalls in decisions and assumptions that you make.They have used analytics and psychological research from popular organizations to elucidate the concepts. I think its ideal course for you if you are a manager and have an analytics system in place. But as an HR student interested in analytics i would have benefited more if stuff like what are key metrics to track and what are the best tools and what kind and level of expertise is required(like statistics,DBMS etc). This course provides a bird's eye view while I wanted a worm's eye view.

The course provides a good amount of information about People Analytics. However, the course assessments don't seem to align with the course learning objectives. It's tedious to go over all the instructional videos before taking the 10-questions quiz in each module. The instructors are knowledgeable and very passionate about the topics. More instructional design strategies are needed to make the course more engaging.

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.

A little pricey for the topics covered, but I like that it gave a high-level overview of some of the data science elements required to get into this field. I wouldn't consider this a basic course just because I don't think a novice could extract much values from it -- not is it comprehensive enough to be wholly-contained (to really extract value from this course, there needs to be indep

The course was quite enjoyable and provided an overview of considerations for leaders and managers as it relates to people analytics. By employing some of the techniques covered, one will no doubt be in a better position for objectively hiring, evaluating, rewarding, retaining and promoting the best and most deserving employees.

Overall content and presentation was average, But i enjoyed Prof. Martine Haas Portion "Collaboration". It could be improved by incorporating some animated video which shows culture of the organization with some attractive examples. This would be helpful, i believe ! Thanks. Wish you all good luck for future.

The content is structured and high class. However, the sports analogy and the lack of enthusiasm of one of the presenters is depressing. Overall, I learned some great concepts and appreciate an introduction to the subject matter. The verbiage of the materials could have been edited to be more concise.

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.

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.