2019년 1월 30일
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!
2020년 8월 4일
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.
교육 기관: Rahul S S•
2018년 10월 9일
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.
교육 기관: Shelley D•
2017년 7월 15일
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.
교육 기관: Ha D•
2019년 5월 20일
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.
교육 기관: Naresh P•
2018년 8월 8일
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.
교육 기관: Sai C C•
2019년 11월 28일
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.
교육 기관: Luis S•
2019년 7월 31일
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.
교육 기관: Qiong L•
2017년 12월 20일
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.
교육 기관: Abhishek M•
2020년 6월 29일
The course is very comprehensive with the professors explaining all the theories through detailed industry examples. I feel that practical examples, professors personal industry experiences, course structure and research papers (reading material) are complete and make this course interesting
교육 기관: Orza C•
2021년 11월 11일
I loved everything about this course sure some videos were over 10 minutes long that would be a drawback but it was great, the teachers are great except Raygu Invinegar the indian guy from the first 2 weeks of the course who need to know how to properly speak the languange before teaching.
교육 기관: Jase N T•
2018년 4월 23일
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.
교육 기관: Carlos F P•
2018년 10월 24일
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.
교육 기관: Sanjiban K•
2016년 12월 4일
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.
교육 기관: Manish K•
2018년 4월 2일
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.
교육 기관: Ikechukwu N•
2020년 1월 15일
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.
교육 기관: ZHUJUN D•
2020년 9월 19일
This course is excellent and very useful. After this course, you are able to understand customer behaviour and make a suitable marketing strategy to target a specific group. Highly recommend this course to those people who have some background in marketing but not very systematic.
교육 기관: Phuong T T T•
2018년 6월 14일
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.
교육 기관: Deepak K•
2015년 10월 10일
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.
교육 기관: Adnan H N•
2020년 6월 28일
I am greatly impressed by the analytical techniques taught in this course which are applied by the world's largest companies. Every instructor has developed incredible course content and the way they deliver everything to their students around the globe is truly commendable.
교육 기관: Stacia S•
2018년 3월 25일
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.
교육 기관: Saptarshi D•
2018년 5월 13일
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!
교육 기관: Himanshu A V•
2018년 7월 24일
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.
교육 기관: Farhan A•
2021년 5월 15일
As a beginner and with no knowledge of Business Analytics, this is a diamond for me. This course helped me perfectly and helped me to enter into the world of Business Analytics.
Thank you, Wharton School, the professors, and lastly Coursera for providing me this course.
교육 기관: Sunny G•
2017년 4월 22일
Course was very well structured and taught. Content is top notch and is taught enthusiastically and interactively.
What I could've liked more: More mentor support, more details into actual models used in industry and how to construct them, and test answer explanations.
교육 기관: Akashi S•
2020년 4월 2일
The videos were bit longer than they were to explain weekly topics. This is an advantage for people who are beginners but it may prove to be a repetition for people who have experience with the topics. Nevertheless, this is an excellent course to understand the ropes.
교육 기관: Shariq l•
2020년 7월 2일
This course has broadened my knowledge in the area of customer analytics. The Professor's capability to explain fundamental terms really helps to understand the nature of different kinds of customer analytics. I thoroughly and trying to make the most of this course.