Jan 31, 2019
Though I have worked on Customer Analytics with my previous work experiences and also on Surveys etc at George Brown College Canada, this module was more than insightful. Lots of learning to learn eh!
Sep 11, 2016
I really enjoyed the class. Analytics are such an important part of today's understanding of the customer but have other uses even beyond that. Professor Fader has really great insight on the subect.
By Ekaterina T•
Mar 18, 2019
I did not find the structure of the course useful. Also even though there were a lot of examples (some of which were quite lengthy) I wish they went a bit deeper into the math behind the models.
Quizzes seemed to test your memory more than understanding of the material.
By BRUNO L P•
Oct 27, 2017
Comenta sobre uso de dados mas não traz exemplos de data-sets, como analisar informações coletadas ou mesmo como coletar os dados. Modelos apresentados são básicos.
Uma ótima introdução para aqueles que não entendem do assunto, porém superficial para cientistas de dados.
By Martina F•
Dec 05, 2016
If you are looking for an overview and have not had much exposure so far, this is a good course. If you want to go deep, it will not be sufficient for you. I would prefer a deeper dive with more examples to work with. But still this is a good start.
By Bojan B•
Feb 06, 2016
Not bad, most of the times boring because there were no real examples and scenarios. The professors are knowledgeable and should deliver that to us even though we pay waaaaay less than Wharton students who are fortunate to have rich families...
By Guilherme B P•
Aug 16, 2018
Very interesting course but I missed more detailed information on the presentation slides and additional reading papers. It is very helpful to introduce initial concepts about customer analytics but it misses the opportunity to go dipper on...
By John L B•
Nov 21, 2016
Overall this was a fairly interesting course, but some weeks were much more engaging and challenging than others. I really enjoyed the challenge of week 3, but unfortunately it was followed by week 4 which was not engaging and lacked content.
By Lisa M•
Aug 14, 2016
Good introduction of topics, but it did assume some working knowledge of the topic. Some of the quiz questions did not seem to have any supporting material information in the course, making trying to determine the right answer frustrating.
Aug 09, 2016
Covering basic information of customer research and tools. Not really insightful in my opinion. The structure of the course could improve a little. I think it overall fits with novice learners who are interested in online marketing.
By Vinogradova A•
May 05, 2016
This was very interesting! But we don't have the answers for the questions that appear during the course. And one more time: The big problem of these courses is we don't have real feedback, we can't ask teacher anything.
By Yeung P K•
May 22, 2018
one quiz is way too far away from what the lecturer has taught, and some of the examples need more clarification, like the one about WTP. And please take care of the volumn of the videos, some of them are too soft.
By Spider L•
Apr 09, 2017
Interesting information and enlightening as to what major players are doing in the marketing place to improve both understanding of business dynamics, predicting outcomes and impacting actual business results.
By Jason M C•
Sep 29, 2015
The course is decent, though it's hard to feel like I've properly learned the subject, as the class consists entirely of quizzes and lectures. I would have preferred some more interactive assignments.
By Veluru N•
Jun 07, 2016
Hands on exercises and analysis would have helped a lot in practical understanding of the concepts. There were a lot of exercises in "Operations Analytics" course. The same would have helped a lot.
By Chand D•
Apr 22, 2017
The course provides a high level view about the customer analytics - good enough to be aware, however it does lack the detailed information on models. The last part by Prof. Bradlaw is great.
By Jing D•
Jun 21, 2018
Some of the courses do not have key point, especially professor Peter. When I got the quiz, I would doubt whether I took the correct one because every question seems to be out of my reading.
By Amit S•
Jul 18, 2017
Great theoretical knowledge for beginner.Would recommend this course to gain insights into customer analytics before putting hands into actual customer analytics tools and technologies.
By Tanguy V•
Oct 03, 2015
Good, if you want to grasp the span of such discipline. Focus on a few tools and the philosophy of them.
Don't expect though to get formula's explained or any assistance on the forums.
By Pierre V•
Jun 09, 2016
Disappointing. It is only a general speech about available technologies in the field of customer analytics rather than an Analytics course. Some interesting concepts though.
By Andrei N•
Sep 16, 2018
I've got the information I was interested in. Thanks. In general, the course is quite light. I would have liked to see more details, best practices, probably some practice.
By Niklas W S•
Aug 19, 2019
Good overview course but a bit simplistic. However, I miss some practical examples that could be tried and tested out in Excel such as in the Operations Analytics course.
By Sören J•
Feb 02, 2016
Good introduction to Customer Analytics and some good background knowledge. However, not a whole lot of practical application or deeper insights into "Analytics Engines".
Jul 20, 2019
Very good foundational course on customer analytics. It would be helpful to add data crunching exercise to have practical experience on analytics from actual data .
By Kevin B•
Dec 14, 2018
very high level and entry information. useful for overall entry into customer analytics but would like deeper dive into CLV and probabilistic predictive modelling.
By Siqi L•
Nov 17, 2019
A good overview of marketing analytics. But its too vague and it doesn't demonstrate the how-to conduct analysis on the data to predict the future outcome.
By Kumar A•
Jul 06, 2017
Very basic course and assignments were not rigorous. I was expecting an assignment where I would have been expected to calculate CLV or predict an outcome.