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!
Feb 03, 2020
The course is very good. I have learned a lot from the course. A lot of interesting topics and help me to under the marketing. I will for sure continue learning more courses from this specialization.
创建者 Yifan L•
Mar 21, 2020
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.
创建者 Ian A•
Feb 24, 2020
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.
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!
创建者 Yogesh G•
Apr 17, 2020
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.
创建者 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!
创建者 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!
创建者 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.
创建者 SANKESH B G•
May 04, 2020
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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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.
创建者 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!
创建者 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.