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 Domenico M•
This course gives you plenty of examples of the way un-measurable human relationship can be quantified. Moreover, you will be very surprise in all the evidence put together to show how the "good old way" in selecting and evaluating people is quite wrong
Great course if you haven't had much exposure to the field. I have been working in Human Resources for 11 years and do have a academic statistics background prior to this so although I found it a great course it felt like more of a refresher for me
par Clara Z•
All the videos are very interesting and insightful. But I feel the overall content can be more substantiated to make it more like a course. Each of the current week can be followed by at least 2 more weeks of detailed techniques and examples.
par Mahima B•
Wonderful course. Loved it. But in some of the modules examples used were from sports field. Good that examples were connected to the sports field and analytics but not all can easily connect it to the topics if they don't follow sports.
par Jay S•
Great introduction to Performance evaluation and Talent assessment techniques. Application of statistical tools to the data needs more emphasis and possibly with a hands-on example using Excel data analysis tool would have been great!
par Pavel C•
Very good one on subject - however I suggest to improve it by
a) giving some more challenging tasks than just checking knowledge with MCQ
b) adding some ideas from cross-cultural perspective
c) considering adding more links to resources
par Rashi A•
Really found this course of immense value. The aspects discussed, illustrations given and the content are all very relevant. Also, loved the fact that while concepts and theory has been discussed, a mention of the practical aspects
par Babuprasad S•
Some more context based on examples from that could map to students going through this from different pats of the World would help better. The baseball was to specific to the West which was tough to follow at the start.
par Shilpa P•
I am new to this field. Have been in Line HR for more than 15 years and really struggled to use analytics to the HR function. This program gives a very good framework. The topics and discussion were very insightful and thought
par Surya P•
It will be more effective, if you provide some info on tools which work as same as Analytic tool. So that we can easily understand how to use analytic tools for identifying the right talent and for the organizational growth.
par Rishica S•
Overall the experience was good.
But took some time in understanding the concepts that was explained by Prof. Mathew Bidwell.
Seemed like sometimes he was getting confused while trying to explain the concepts with examples.
par Rasika D•
I find this course really helpful which provides modern approach to HR challenges. Though I am not from statistics background, it was easy to understand all the concepts as they were well explained by all the professors.
par Gede T L•
Very educational and open mind about HR world especially for people in organization using data-driven. Enjoying the video and the explanation in this course. There are supporting file such as pdf or future research too.
par Daniel M•
Good foundation for people analytics concepts, but not a great deal of how-to do involved. Would provide a good starting point for new practitioners or individuals going into a People Analytics consulting role.
par Pham Y V•
The lesson 1 is quite hard to follow but the others are really good and interesting. You could understand the measure in performance evaluation by the passionate teaching mothod of these qualified professors.
par Matt T•
I don't hold business school types in high regard, but the material in this course is surprisingly balanced and nuanced, especially in the treatment of the unreliability of small samples, and of causality.
par Rahul D•
Good overview on how analytics can be used for hiring, talent management and collaboration. Opens up the possibilities to further explore analytics in people management by creating a strong foundation.
par Pilar C•
It is an Interesting course that explains the importance of analyzing data in Human Resources It is an introduction of this topic. I have to investigate and learn more to improve in People Analytics.
par Shruti T•
Loved this course and the faculties, how they approached. But it would have been helpful with more experiments and case study on practical companies would have been there to relate to while studying.
par c k v•
This course covered more of appreciation of analytics in HR than hard core analysis examples ( like operational analytics module). However, we get a perspective of use of analytics in People area.
par LUIS J A G•
It´s a very good and high level introductory course. In order to progress, when you finish this course you'll need some statistics course with many practical examples applied to people analytics
par Nidhie s•
I loved the course, but the examples shared by the teachers could have variety to it. I don't even understand american football or NFL . It was hard for me to understand n that took lot of time.
par Sandeep K•
Great introduction on PA. Opens one's mind to think about various "real" issues of people management while explaining how to utilize the power of analytics to solve people management problems.
par Hasari T A•
It is always important to measure the effectiveness of all the people inside an organization. Through many practical examples, this course gave me a great perspective of qualitative analysis.
par Prathmesh J•
The course was great. I learned a pretty new things and the way facilitators portray this course was fabulous. Thank you for designing this course. It is a pretty good deal. Thank you again.