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.
Oct 18, 2015
One of the best courses i took. This gave a lot of new sense about data and it serves as a platform connecting marketing and analytics. Thanks to Coursera and Wharton for giving me an opportunity to learn about customer analytics . I want more courses from Wharton.
por Tanmay S•
Jun 26, 2019
Wow! such an amazing course, thinking deeply about the customers, their behaviour, their way of looking at the different things.
I loved it, in fact, I want to study more about it and would like to pursue MBA from this b-school
thanks to all professors for this course.
You all delivered the content in an interactive way!
por Nitin A•
Mar 28, 2019
Good content, gives a basic understanding of what customer analytics is and how it has helped businesses in collecting data, exploring it, analysing it, making predictions to optimize and then taking business decisions based on those predictions. Needless to mention, the faculty that delivers the course is excellent.
Mar 04, 2019
The Customer Analysis course is very helpful to me. It not only allows me to learn how to describe, understand and develop the tools needed for analysis, such as questionnaires, but also the understanding of the customer's own dimensions. Thank you very much for the wonderful courses offered by the professor!
por Ian A•
Nov 11, 2015
Great overview of Customer Analytics. Companies are making decisions on a customer by customer basis, this course covers how this is being done and what we need to do to remain competitive. If you like I thought that decisions were still being done on an aggregate basis this will be an eye opening experience.
por Erika P P•
Jan 25, 2016
This is an excellent course for those interested in understanding how marketing trends works towards customers. All the examples used were very helpful and interesting. The Professors were great, the classes were interactive, creative and could easily catch our attention. I would definitely recommend it!
por Sebastian V•
Oct 30, 2016
Great insight! Some of the articles the additional readings lead to are quite dense statistically speaking, which begs for a whole course in that subject to be developed. I loved the great arrange of examples and the clarity of the teachers to explain the main concepts. Loved it and would recommend it!
por Utkarsh A•
May 31, 2017
This is an awesome coursework.
The information provided, the real life examples, its so very inspiring.
All I wish now is to race to the finish-line for this entire specialisation.
Many thanks for putting up such a stupendous effort into this awesome course material, lectures.
por Rahul S S•
Oct 09, 2018
I have thoroughly enjoyed the lectures of Professors and have developed an insight in the science of Analytics. Well, there is more to go. Shall give my feedback on regular intervals just to encourage other aspirants reading this to take up and learn how science can be linked to sales and business.
por Shelley D•
Jul 16, 2017
A very good course. Help me understand in depth and breadth how to identify, segment, and target different customers based on their propensity to identify, choose, review, select, purchase decisions. Will surely help those who are vyint to make a career breakthrough in t.he world of data analytics.
por Ha D•
May 20, 2019
For someone who is new to this field and doesn't have a background in marketing, this course has helped me tremendously to understand the key concept of using data and models in making decision. Hopefully this new knowledge will become an advantage for enhancing my future career in data analytics.
por Naresh P•
Aug 08, 2018
Im a student of consumer behavior but my course outline did not involve a lot of analytics and modern data relevance to it, so I decided to bridge the gap between those by opting for this course and now i feel that the foundation for the very same motive has been laid down really strong.
por Sai C C•
Nov 28, 2019
Customer Analytics is really a wonderful course for all the people who want to know, how to analyze the data and what factors should be considered while analyzing. Wharton staff had kept a lot of effort into making this course. Thank you so much Coursera for providing this wonderful opportunity.
por Luis A S•
Jul 31, 2019
Very enlightening course. I really enjoyed learning the use of data to make better decisions and the importance of data in marketing. I understand better how companies are developing their marketing campaigns. I enjoyed the CLV model, the explanations about models and the research in this field.
por Qiong L•
Dec 20, 2017
Overall, the course was great with lots of examples and applications introduced, but it would be more valuable to me if some terms could be introduced with explanations such as the recency and frequency in the concept of CLV, and how it is calculated using the formula introduced by Eric, etc.
por Jase N T•
Apr 23, 2018
The course was excellent. Many of the discussion points were the concerns of my clients especially in retail and telco. The exams were difficult and you really need to pay attention to the details the lecturer says but it's part of the learning process. Definitely recommending this course.
por Carlos F P•
Oct 24, 2018
Top notch and relevant material. Much needed discussions on the use of modern analytics in sales and marketing. Without the mathematical intricacies of implementing the models, it gives an excellent big picture, the current trends in industry, and examples from real companies. Thank you.
por Sanjiban K•
Dec 05, 2016
I feel I have learnt something different and what I expected out of my first course in Business Analytics. Coming from a technical background of computer science and mathematics, I really got a chance to understand how to effectively use data to make strategic decisions to drive revenue.
por Manish K•
Apr 02, 2018
This course is very well designed for those who want to gain knowledge on customer analytics concepts in short time with good content.
I would like to thank all the faculties of the course for providing good content and explaining it in easier way to grasp the knowledge.
Thank you again.
por Ikechukwu N•
Jan 15, 2020
This is the best course on data analytics to happen to me in recent times. I had been looking for a course that will help kick-start my journey into data and business analytics and I am glad I discovered this course. Thanks to the faculty and team for making learning fun and simple.
por Phuong T T T•
Jun 15, 2018
I strongly recommend this course. The course content is really practical and up to date. I am especially interested in how customer analytics applicable to today business, and Customer Lifetime Value is absolutely awesome!! The additional reading materials are outstanding as well.
por Deepak K•
Oct 11, 2015
Marketing in its various guises changes on an almost daily basis. Its so refreshing to go through a course that is so current in its content and relevance. The delivery was great and the passion of the the professors was visible in every video. A BIG thank you to all of them.
por Stacia S•
Mar 25, 2018
Highly informative! The course delivery (i.e. lectures) was clear and interesting, especially supported with various real-life examples on how companies utilize and monetize analytics. Also, the course has inspired me to be more involved in analytics-related roles in my job.
por Saptarshi D•
May 13, 2018
Dear professors. I thank you all from the bottom of my heart for taking the course. I have umpteen quantity of marketing analytics knowledge already. The quality of the professors at Wharton makes me crave for an admission there! Thank you so much again! Thank you Coursera!
por Himanshu A V•
Jul 24, 2018
Please improve prescriptive analytics section.
It seemed that it is no where related to predictive analysitcs section. Predictive analytics spoke how to predict future. Prescirtive analytics should have mentioned about how to use predictions for converting into actions.