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.
par Sameeksha P•
25 avr. 2020
Thank you professors Cade Massey, Matthew Bidwell and Martine Haas for incredible People Analytics course on Coursera . The course was very insightful, it covered all the important and key concepts of People Analytics. I am definitely going to pursue further studies in this field after doing this course.
par Ricardo G•
11 sept. 2018
An espectacular course that opens your mind when think about people management. It's amazing how we can improve the organization results by adding some analytical processes to better evaluate people's performance. This course made me want to study more about analytics and to develop tools where I work.
par Ravi A•
8 août 2017
Excellent start with appropriate examples for the People Analytics. All the doubts and concerns about using data are appropriately addressed by the faculty. I will recommend this course to all the HR Professionals who are looking for starting People Analytic practices in their respective organizations.
par Kelly M•
29 juin 2018
This is a phenomenal introductory course to People Analytics for anyone who is interested in learning more about the field. The professors are incredibly knowledgeable and engaging in their lectures. The content is well structured and makes accessible what can very challenging concepts to grasp.
par Venkatesh G•
6 mai 2016
Wonderful insights into the performance and talent evaluation fields. As an analyst I personally did not consider these many ways to see and solve a problem related to employee performance and evaluation. The course was simple to understand and supported with relevant and intriguing examples.
par ABOLI E•
4 août 2020
The course was very well designed. It helped clarify the most important concepts along with multiple different applications, approaches as well as their caveats. I would like to thank the instructors, Wharton University of Pennsylvania and Coursera for making the knowledge accessible to all.
par Rukhshinda M•
22 juin 2022
The course was really interesting and the lectures were engaging. This course offered a lot of new learning and perspectives to think about. It helped in quantifying the people matters that I was currently dealing in my organization. Highly recommended for all HR professionals.
par Jan T•
1 juin 2017
Very good overview course - I am recommending it to my team members as a solid introduction to thinking analytically about people in organizations. It introduces principles as well as concrete examples that illustrate the benefit and importance of fact-based/evidence based approaches to HR.
par FARHAAN H•
17 avr. 2020
Excellent course and very well explained by all the three Professors from Wharton School.
Very easy to understand even for people from Humanities and Social Sciences background with no technical knowledge beforehand.
Congratulations to the entire team for doing a great work with this course.
par Vincent L•
2 sept. 2017
Pointed out clearly the benefits and limits of People Analytics, yet it could benefit from being a separate course all together covering the topics more in-depth, like algorithm aversion, bias and ethics, privacy, efficient data collection and many other topics which were a bit overlooked.
par Jatupith T•
13 juil. 2020
All professors are very good at making difficult things more easier. It's very useful, I've got a lot of benefits from the course. My only promise is keep learning with coursera. Thanks again for providing a good course and your effort for this immense contribution to the learning world.
par Deepak S•
8 avr. 2020
I am really happy with the course material and the panel members who provided the insights on such a vast topic. I am truly have high regards for all the panel members who talked about on the topic of People Analytics and the various sub topics under People Analytics....Thanks once again
par Jenny G•
17 mai 2020
OMG, I love this course. I will look into learning more about this topic. I think it is important to have the right people in the company and make sure to compensate the people that need to be rewarded. As well as let people that create noise and not a successful team or environment go.
par Scott C•
28 janv. 2021
Quite an interesting course. Statistics and analytics are new to me, but they were presented in an easy to understand fashion. The professors were quite engaging and well spoken too. This is a very good introduction to the topic. It's nice they share the slide deck to each session too.
par UJJWAL K•
30 déc. 2019
I got to understand how performance evaluation and network analysis is done in an organization on the basis of data. Also concepts of staffing and collaboration were made clear which will surely be helpful for me to make the best use of the opportunities I will be getting in my career.
par Ignacio F G•
21 mai 2022
Excelente curso introductorio en People Analytics. Ayuda a hacerse una imagen general de esta disciplina y del camino a seguir si uno decide continuar formándose en ella. Con algunos conocimientos estadísticos se aprovecha mucho mejor el curso, también con un trasfondo en Psicología.
par Affan H•
21 juil. 2020
The course discusses several ways the analytics can be used for managing employee life cycle. At the same time it also comprehensively sheds light on challenges that come by data driven people management and prescribe effective techniques that can be used to dampen the challenges.
par Brent M•
18 mai 2020
I have gained extra knowledge of how to look at hiring, internal mobility, and attrition at an analytical level. It has been said to not rely on OUR OWN understanding....In this situation, we must rely on data, not too small or too big in order to make better inferences in people.
par Adrian H•
22 sept. 2018
I liked the insights and especially the broad range of examples (e.g. Goldman vs. Google GPA etc.)!
Maybe it would be a good addition get a data set for apply statistics. That was a little bit better in Operations Analytics.
However thank you for the knowledge and looking forward!
par bernard k•
20 oct. 2016
Great and practical quick intro to a promising new field.
However, the course shies away from giving clear actionable / prescriptive methodologies. would be interested in seeing that in the future in a longer fleshed out course, and maybe by focusing it on specific job types.
par D A B•
22 avr. 2020
For an HR Professional and an academician, this course would prove to be a the best first step towards understanding what exactly People Analytics is. It given detailed insights into its understanding, conceptualizing and the major challenges that it faces in today's time.
par Momina A•
11 avr. 2021
This course really helped in clearing my previous concepts in Human Resource Management and now I have detailed knowledge about performance evaluation, staffing, collaborating, and talent management. and this will be really helpful in my Job and future business activities
par VANDIK Z•
29 mars 2018
Amazing professors, amazing content, amazing quizzes. So well thought, such brilliant material and research cited, very cogently and clearly explained. 5/5 rating for the whole specialization. No wonder wharton is indeed the finest business school in the whole wide world
par OASKANTA M•
7 oct. 2016
It has been an amazing experience learning with Coursera. I got a better experience than I expected. The professors are amazing and I learnt a lot. For anyone who wishes to pursue a career in data oriented Human Resource Management, this is a wonderful course to pursue.
9 oct. 2019
Great course for HR managers who are interested in starting People analytics. Professors explain broad area of people analytics, so that what we can do with people analytics in diverse tasks and challenges we face as a HR manager. Though, it doesn't deliver statistics.