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.
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.
par Divyansha S B•
Jun 23, 2020
I have been struggling to get updated insights on Talent Analytics for quite some time now. This course really helped me to understand it from basic concepts and up. Even the organizational challenges picked up and the prescriptions provide where exactly what I needed to build the stakeholder trust in my field.
par Prasad K•
Aug 18, 2019
The course has provided me an insight to the people analytics and its allied fields. I have learnt organizational networks, talent metrics, performance measurement, and several other related areas.
I have feeling of a kind who went to party back with Big Chocolate in his/her hand.
Kudos Wharton Online. Prasad
par Sameeksha P•
Apr 25, 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 R G A•
Sep 11, 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•
Aug 08, 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•
Jun 29, 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•
May 06, 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 Jan T•
Jun 01, 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•
Apr 17, 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•
Sep 02, 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•
Jul 09, 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•
Apr 08, 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 L G E•
May 17, 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.
Dec 30, 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 Brent M•
May 18, 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•
Sep 22, 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•
Oct 20, 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•
Apr 22, 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 vandik z•
Mar 29, 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•
Oct 07, 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.
par Ji-Yeong C•
Oct 09, 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.
par Andrea S•
May 13, 2020
excellent job from all of the three professors. I really enjoyed the course and it gave me a lot of suggestions and things to think about. was definitely helpful in order to have a more clear idea of the processes behind working realities. well spent time, absolutely
par Meleek H•
Jun 12, 2016
This course was both challenging and interesting. Forcing me to challenge what I though i knew and think outside the box. Then introduced a whole base of new ideas and material which will allow me to apply this new skill to my role and think differently about things.
par Elijah P•
Mar 15, 2019
This was my first Coursera course and I loved it! I have decided to pursue a career in HR / People Analytics / Database Administration and this course was my first step. I feel like I have a good understanding now on where I should look for more study material.
Jul 08, 2020
Great introduction into this fascinating area. While potential of this emerging field is highlighted very well the course also clearly identifies the need for caution and the challenges that may arise (surprise we are humans!) in making sense of the data.