AA
Aug 4, 2020
This course includes a comprehensive overview of the all the basic models that are used to analyze data concerning customer behavior. The real-life examples made it easier to relate to those theories.
ND
Jan 30, 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!
By Brook A M
•Dec 26, 2017
Very informative although it does not say how the data was acquired and does not teach the softwares used to process the data.
By padmavathy v
•Feb 4, 2018
The course was really useful and gave a create insight about how to go about with customer analytics.Thanks for the course :)
By Erin C
•Aug 2, 2017
The concepts are explained clear but I wish there will be more data analytics contents, especially the predictive model part.
By Florence A
•Jun 13, 2022
The overall theory was great, however more hands -on-practical is required to have an understanding of real life situations.
By Sean A
•Sep 21, 2021
Thought this was a great course overall. To make it even better I think practical steps and model application would be nice.
By Adam H
•Jun 5, 2018
Good knowledge, not enough application. Would have liked some assignments or case studies to apply the data through models.
By Arutchelvi A
•Jun 27, 2020
Learned a lot from this course. Very useful for the beginners who want to know the key concepts in the customer analytics.
By John T
•Jan 10, 2019
Great course. It could use some more hands on examples using excel for the predictive and prescriptive analytics sections.
By Sheila B
•Jan 6, 2018
Good course. I learned some basic marketing techniques, customer-focused analytic models and the power of the digital age.
By Justin M Q
•Feb 1, 2016
the idea is very good but the example is very limited, and the lecture notes are not enough,i expect some more information
By Irene J
•Jun 2, 2023
Hope to have more examples, it is better to take the students to do the calculation together, so as to better understand.
By Aditi G
•Aug 19, 2019
We can have more updated case studies. the Netflix case study was very interesting.I request more such practical examples
By Arun K
•Dec 10, 2017
Excellent course for conceptual understanding. Could do a bit better with application orientation in some of the modules.
By Manish T
•Oct 13, 2015
Informative course however only theory has been included with no practical application of concepts learned in the course.
By Shreeja M
•Jun 8, 2020
The study material is very helpful and very clearly stated. All the professors made it really easy for us to understand.
By Deleted A
•Jun 16, 2018
Insightful and informative. Real life examples are ample. Could include more challenging quizzes and evaluation metrics.
By Aakanksha A
•Jun 23, 2020
an amazing course, the use of examples have made it so easy to understand and also gave us reason to remember for long.
By Dieggo A V T
•Jul 23, 2017
The content of the course is very interesting but I was expecting more exercises with the applications of the concepts.
By Eyas F
•Sep 2, 2019
Some of the CLV questions were not properly taught. Also Data collection is not discussed with regards to new ventures
By Meredith
•Nov 23, 2018
Lectures were interesting and accessible. Quizzes were a little cryptic, even if you reviewed all videos and readings.
By Jelle V
•Oct 19, 2018
Good content presented in a clear manner. Including at least some of the math would make it even better in my opinion!
By Vinay G
•May 14, 2020
Very good insights from experienced professors. Only flip side is that the course is old- 2015/16. Need to be updated
By Carlos J R F
•Jan 10, 2020
Great professors! Fader is actually super good. First time I see such a good professor in Coursera. Congrats Wharton!
By Aiyush B
•Mar 23, 2017
Great Course. Really loved the live examples explained specially towards the end. keeps the curiosity up and going :)
By Rafael J B
•Jan 9, 2016
I really enjoy this class. Keep using the three key Analytics Categories: Descriptive, Predictive and Prescriptive...