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.
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!
創建者 David A R D•
Excellent course, I think one of the things I really like the most was that very complicated subject are explained in a very simple and didactic way. Videos, papers and exercises are full of interesting information and Quiz are not simple. Application module is mind blowing... Can wait to do the next course..... David.
創建者 Thanush K•
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.
創建者 Tanmay S•
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!
創建者 Nitin A•
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.
創建者 Yufan S•
There are more wonderful concepts to show management science. It is the best one to introduce customer analytics to me. Keep in mind: better data, data exploration, optimization and making decisions. Excellent lectures from the professors! Maybe have a face to face meeting is a dream, but dreams could come true.
創建者 Ali Z•
The mindset shift you will have after going through the different modules is like a riding a roller coaster where each corner hides some more interesting learning than the one before; the way the presenters organized and presented the materials made room to grasp all the information and learning in a smooth way.
創建者 Yifan L•
Through the learning process of Customer Anlytics, it really provides me with some insight of how to utilized customer data in business applications. There are some intersting and meaningful inspirations from servearl industries. I guess I would start to think deeply in my future careers. Thanks for the sharing.
創建者 Abhinav S•
It is very interesting and informative. Personally, I have learned a lot in this course. Most of the topics are new, latest and signify the practical examples in the near future. The knowledge gained after passing this course will provide a broad prospective over the various analytics and their implementation.
創建者 Ian A•
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.
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!
創建者 Marina M P•
Gostei da forma como foi construído, partindo com conteúdo mais detalhado e depois mostrando numa forma mais geral como as técnicas e os conhecimentos podem ser aplicados para tomar decisões e por em prática. O uso de exemplos reais também foi muito bom para entender a aplicabilidade dos conceitos ensinados.
創建者 Yogesh G•
Extremely well organized course with ton of useful information. As it is a course for beginners so lacks the details but the overall content and flow is just perfect. Instructors are quite effective in explaining the complex ideas in simple manner. Specially loved the part of application taught in week 5.
創建者 Anh D•
My biggest thanks to all the professors and Coursera team. The content is informative, not too much and just as sufficient to prepare you for other courses. All of the professors did a very good job of explaining the models, concepts and application of the theory.
Thank you so much for making the course.
創建者 Erika P P•
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!
創建者 Sumeet S J•
Completing this course had really improved my understanding on customer analytics and various mistake we do while analyzing big data to understand customer behavior. This will definitely help me in identifying the pain areas of my customer and take necessary actions to have high Customer Lifetime value
創建者 Sebastian V•
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!
創建者 Utkarsh A•
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.
創建者 G s b E•
I am extremely thankful to be a part of this course. I never thought that there is soo much to understanding customers and knowing how they behave. The modules taught in this course made me understand many things that I can apply on a realistic basis. Once again Tanks a lot and I enjoyed this course.
創建者 Rahul S S•
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.
創建者 Shelley D•
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.
創建者 Ha D•
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.
創建者 Naresh P•
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.
創建者 Sai C C•
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.
創建者 Luis S•
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.
創建者 Qiong L•
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.