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 Rubén S F•
Nov 12, 2015
Although it is quite basic, it is a good starting point for someone new in Customer Analytics
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 ABHINIT P•
Apr 19, 2018
I really enjoyed lectures by Prof. Iyengar and prof Bradlow. They were very helpful in understanding the basics and the applications. I also like Dr. Peter Fader's approach of teaching a concept though a story. I hope Dr. Berman can innovate and come up with more interesting ways to hold the audience and teach the concepts as currently sitting through his lectures is quite a task.
By Borisov P•
Aug 30, 2016
I think we could jump in theory a bit faster, week 1 and 2 are basically introductory.
Apr 13, 2016
to my opinion it's too basic, was really nothing new to learn. And i also felt that the course is outdated, it's like from early 2000th...
By Vanol F F J•
Jan 12, 2018
The most interesting part were the examples at the end. I think the course would have been better if the last week's material was at the beginning. Also, more assignments would be appreciated. I find the information interesting and resources helpful, but I would like practice and some guidance on its application.
By Saira B G•
Aug 20, 2016
For the secod week
By Prashanth R•
Aug 30, 2016
Great qualitative overview but thats where the good parts end. I wish they actually teach you how to do the math part. It would be a perfect course if we can work on case studies and calculate customer life time value and RFM. This is definitely great course if you have no idea of customer analytics or you are in executive level.
Mar 04, 2018
Too much information that is not integrated nor systematic.
By Boris L•
Oct 05, 2015
A large gap between the presented oversimplistic modeling approaches and the presented applications. I would expect more "meat" in between. The applications part was nice, the regression and predictive part a little too basic, and the prescriptive part not really worth the time.
By Subramanian M S•
Oct 05, 2015
Fairly basic and theoretical. More applied customer analytics assignments would make the course worth one's while
By Terry-Ann L•
Feb 21, 2016
I found this course difficult...
By Bruno G•
Nov 20, 2015
Classes were interesting, although a bit light. I would also have liked to have more explanations on the quizzes to make sure the material was fully understood. And reading references would have added to the experience. It felt a bit like the class was kept basic in order to make the corresponding "specialization" package more attractive. Slightly disappointing.
By Pallavi G•
Jan 28, 2017
Great learning experience, although it could be more practical from the very beginning.
By Christine A•
Nov 10, 2018
The information was useful - some material was review and some was new to me. I found that several of the quiz questions were not answerable based on the content presented in the lectures, PPT slides and additional reading material. This was very frustrating. I listed to the lectures and took copious notes. I reviewed the PPT slides and transcripts of the lectures. I read the additional material and took notes on it. But I had to take the quizzes multiple times in order to pass because some of the questions were not directly or indirectly related to the material.
By Andreas D•
Nov 20, 2018
The general overview was good and a refresher what I was taught in uni 15 years ago. The material looks a bit old-fashioned and some slides look like the content was 'thrown together'.
I am missing going into details, particularly in calculating optimum price. The use of Excel Solver was not even mentioned to calculate the exact price, rather than determining it through a graph which is there or there about.
Also was missing kind of how to actually calculate CLV with Excel (I have seen a formula in the slides once, but that doesn't tell me much).
By Jessica N M P•
Oct 09, 2018
Useful but it would have been nice to have worked through the math or worked through a relatable example
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 Md. S B•
May 02, 2019
Good knowing about the Customer in basics . Was expecting to have more real life scenarios to be explained though.
By Nicki R•
May 03, 2019
Some parts were heavy in math, but without explanation. Otherwise, great!
Jun 10, 2019
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 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 Alejandro S•
May 07, 2019
Outdated information, but still learned data analytic insights.
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.