It would be better/more helpful if the professors taught the actual models that business analysts use every day. I am just getting into business analytics from a different field, and would have appreciated learning/knowing how to perform things such as probability models, churn models, etc. that they reference in their videos. Overall this course was a good introduction.

I love most when Prof Eric Bradlow tell how tremendous of impact using customer analytics in different corporate. However real to-do-assignment is still missing here (such as work with modelling in real programming). I think this course is good for having an insight what customer analytics can do in various field. Thanks a lot Prof, highly appreciated for the knowledge

Great class for everyone. I am an industrial engineering student and I am constantly using regression analysis. It was great to know how I can use different statistical methods used in quality management in other disciplines.

As a recommendation: Applications part was my favourite so I would like to see more applications of customer analytics by big companies.

Being in the industry, we tend to take things for granted and this course enabled me to course correct my view on how technology combined with market research is changing the customer dynamics. I enjoyed every module and the professors were very sensitive to deliver the complex content in a easy-to-understand manner. Looking forward to the next modules.

it would be greater if the course can show us more real-world case study from what data we have and what we gonna do with the data to have that recommendation for the company. So far it is more likely to be a conceptual course that show us what kind of technologies and what data is trending now. But overall, a very good course for BA beginners :)

This course provided a good overview of the concepts and applications of data analytics in business. Learning about how to analyze customer behavior was interesting and very applicable to real life. Some of the quiz questions were difficult, and having the ability to review and understand right/wrong answers for study would be helpful.

Covers the purpose, expected results, and the current use by firms well, but does not go far enough in to how the models are assembled or how to apply them to actual data sets. Week 3 needs to be reexamined to provide students with the tools to effectively complete the summary quiz without external information sourcing by individuals.

The course content was substantive, interesting, and presented very well. The educational experience will be enhanced if, at some point, you provide comprehensive answers to the quizzes so students can fully understand, both their correct and incorrect responses. This information can be make after a person passes a particular quiz.

This course is excellent to understanding the basics of how to get data, analyse it and making conclusions out of it. You can not only visualize the material, but you can model and practice with it either on Excel or R. This course is not only theory, but they explain possible outcomes and projects of knowing the customer's data.

Some choices in multiple choice questions were all correct and it's almost impossible to know which one is the most correct among the options due to poor quiz design. Academic papers and extra reading were nice to have but in Week 3 the platform should have forced the user to click on Further Readings before attempting the quiz.

I would definitely recommend this course to my friends and colleagues as it is very effective to giving one a foundation to how to analyse customers, especially at an individual level in order to make better business decisions. How, What and Why questions relating to customers are answered after taking this course. Thank you

A great introduction to a very complex topic. It provides a great overview and a starting point of how customers' data can be used (and are being used) in many different concepts. Something that could be improved in the future is to provide a bit more quantitative approach (and more examples) with the theoretical concepts.

This course gives the perfect platform of tools, case study examples to explore the content on Customer Analytics. It also emphasizes on the importance of measuring the customer behavior & satisfaction. Also helps the student to clearly visualize the difference between BIG DATA (CUSTOMER DATA) vs ANALYTICS (Customer data).

This course was indeed very helpful. Helped me open my horizons and the way i think. I live in a Pakistani market which still has a long path ahead but nonetheless the marketing techniques discussed in the course are not very far ahead. It would be great to inculcate a few ideas at my workplace leading to better results.

The course is really good and well explained . One feedback though was that the predictive analytics quiz was quite tough and even on going back on the videos it was really tough, May be the professors could have explained randomness a little more in detail. But overall the course is really great and has great content.

Interesting and well-taught course. The information is a little outdated. Note that there are marketing terms one must be familiar with before taking the course (or look up during) in order to understand what the professors are saying. Although taught by different professors, this course had incredible continuity.

This is a good course if you are now in analytics (that's my case), but also, I would have prefered if they had gotten into a more deep explanation about tools, specifically in the predictive analytics module.

In summary, I think teachers are great, but they should explain better and get deeper into the topics.

Exceptional course in content. At least one of the exams left too much to the student. Data was not/not covered in the course leading to a disconnect in the material and test. If that is corrected, this would have been 5 for 5. This is my 19th course with coursera and it would have been the first 5 for 5.

great topic - super content from many varied individual perspectives! Some of the interviews / presentations were too thin - or too fast. This is expected of course - but the quizzes where still geared towards thorough understanding. I still valued and learned from the content and am glad this was available.

I found the material fantastic and being able to read the text while the lecture was going on was very helpful and there were times that the volume control did make it difficult to hear the professor. I also found it mildly amusing when Prof. Fader was giving his talk the kids behind him taking pictures

Great content, but I expected a bit more modern tools in the delivery. Too much cold power point and very little interactivity or any of the tools that help with retention. In some tests there are questions written to be tricky and not to evaluate learning. Also some questions on detailed not discussed.

Super informative course that got me excited to mess around with my company's data and tracking! However, I do wish there was more instruction related to putting these models into action. Some hand on formulas or an assignment to create a model would have punched up the value of this course for me.

I found this course interesting and informative. However some of the concepts could be presented with more details and know how. Some of the data presented in slides were hard to read. Also it would have been helpful to demonstrate some of the calculations that would help the decision making stage.

Great course to study, at the beginning of each course it takes a while to get into it then the light bud comes on after you try to take the test the first time and fail it, then you pay attention and listen to the videos again.That is when you know Customer Analytics is a thing you do every day.

Though I liked the course as it provides the basic knowledge of where the data analytics is applied in tracking the consumer data and applying it in analytics. I would have loved it even more if more technical details were provided with the course and programming exercises were also included.