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.
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 Manasvee M K•
par Wan A b W M•
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par Jurong G•
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par Ishak S•
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par angana b m•
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 Joseph D•
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•
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•
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•
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•
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•
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•
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.
par Marko R•
Very interesting course with great lecturers! Unfortunately, I'm assuming it was designed as an introduction to people analytics theory (and as such is a 5* course) but I'm still disappointed that it had no practical part where we can actually see the data and numbers in effect. Also, I think a mention of an important bias is omitted - measuring performance on a certain metric but discouraging or hindering employees to actively pursue the required metric.
Nevertheless, a very useful and enjoyable course!
par Sofija J•
I really liked academic approach to this popular subject in modern HR world. The instructors have covered various areas of people analytics in nice and understandable manner. On the other side, since this is a dynamic area, maybe it would be useful to review the course each year and come up with some more recent studies and/or examples from good business practices. Also, adding some basic statistics module to the course might be benefitial for some viewers with no much education in this field.
par Vijayalakshmi N•
I found this course very useful as it illustrates the various facets of people analytics. The instructors were very good and gave sufficient examples to support and explain the various topics in the course. I'm eager to know if I will be able to put my learning into practice - as was rightly pointed out by the instructors that the field is still being created and not devoid of organizational challenges. However, I am quite excited to have completed the course.
par Naren M•
Breadth of topics presented during the course is very impressive. The instructors demonstrate expertise in their respective areas. I have developed an increased level of respect for the field of People Analytics and how it can benefit not only individuals but also teams, organizations and eventually industries. There is a great need to exercise caution on how analytics is applied in this context, which have been aptly brought forward by the instructors.