课程概述
热门审阅
AA
Apr 5, 2017
Perfect Course for those who want to inquire insight and knowledge of how tons of data that we generate in our day to day life is being utilized by big organizations in optimizing their productivity.
JS
Dec 4, 2016
Fantastic course. The instructors were great, the real world examples were very interesting, and the course materials were relevant to the daily tasks I face as a Data & Customer Insights Analyst.
1926 - Customer Analytics 的 1950 个评论（共 2,553 个）
创建者 Adam H
•Jun 5, 2018
Good knowledge, not enough application. Would have liked some assignments or case studies to apply the data through models.
创建者 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.
创建者 John T
•Jan 10, 2019
Great course. It could use some more hands on examples using excel for the predictive and prescriptive analytics sections.
创建者 Sheila B
•Jan 6, 2018
Good course. I learned some basic marketing techniques, customer-focused analytic models and the power of the digital age.
创建者 Justin M Q
•Jan 31, 2016
the idea is very good but the example is very limited, and the lecture notes are not enough,i expect some more information
创建者 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.
创建者 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
创建者 Arun K
•Dec 9, 2017
Excellent course for conceptual understanding. Could do a bit better with application orientation in some of the modules.
创建者 Manish T
•Oct 13, 2015
Informative course however only theory has been included with no practical application of concepts learned in the course.
创建者 Shreeja M
•Jun 7, 2020
The study material is very helpful and very clearly stated. All the professors made it really easy for us to understand.
创建者 Deleted A
•Jun 16, 2018
Insightful and informative. Real life examples are ample. Could include more challenging quizzes and evaluation metrics.
创建者 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.
创建者 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.
创建者 Nasser A
•Aug 18, 2025
very informative and well structured, though the assignments cover a bit more of the material given. Overall satisfied
创建者 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
创建者 Meredith
•Nov 23, 2018
Lectures were interesting and accessible. Quizzes were a little cryptic, even if you reviewed all videos and readings.
创建者 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!
创建者 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
创建者 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!
创建者 Aiyush B
•Mar 23, 2017
Great Course. Really loved the live examples explained specially towards the end. keeps the curiosity up and going :)
创建者 Rafael J B
•Jan 8, 2016
I really enjoy this class. Keep using the three key Analytics Categories: Descriptive, Predictive and Prescriptive...
创建者 Harish B
•Nov 24, 2015
More of theory than practice. Nevertheless good for professionals with little or no experience in Customer analytics.
创建者 Marc-Antony N
•May 22, 2020
Excellent course. Informative, fun, engaging and exciting. I found Eric Bradlow (week 5) to be an excellent teacher.
创建者 Yanxin J
•Jan 19, 2018
I wish to have more in deep introduction related to customer analytics, not just conceptual and case analysis.Thanks
创建者 Julie H
•Jan 1, 2017
Great experience. Content is easy to understand. Wish to have more extended learning materials for future learning.