Good, but not on my scope.

not so interesting

For the secod week

very high level

good insights!

Decent Course

Great Course.

Not my thing!

适用性不太强，讲得太浅显

Good Course

This was an incredibly weak first course in the Specialization. It does lay necessary groundwork, but there are frustrations to be found. Lectures often do not clearly cover or even completely neglect to cover content found in the quizzes. One professor in particular seems to make it a point of pride that he has elected to create a quiz that requires an understanding of the topics beyond what he is willing to be provide. There is little to no interactivity with the concepts covered, which is a big disappointment. This course seems to primarily be an introduction to using data to better understand your customers; to that point, it would have been helpful to start the course off with a case study. As new concepts are introduced, they could be tied back to the study to better demonstrate where we use descriptive, predictive, and prescriptive analytics and how their outcomes might further guide our research. For anyone turned off to the Specialization by the underwhelming and often frustrating content of this course: keep going. I continued with Operations Analytics, which is much more hands-on and overall more rewarding. It seems to get better.

Course fails to go into any actual real-world 'customer analytics'. The focus is very high-level and just theoretical while analysis is limited to basic statistics applied in Excel (which much explanation). For context, the course talks about regression analysis but fails to explain what regression is, but just shows you how to create a regression line in Excel.

Course felt more like how to use Excel rather than diving into Customer Analytics.

On a good side, this course the essential understanding of Customer Analytics and in week 5, there's some interesting examples of how advance marketing analytics help businesses. But on the worse part, this course only provides the basic ideas - too broad. Most contents are solely based on examples each lecturer thinks of. It would be great if there's a case study or a data set sample for students to analyze and come up with recommendations.

It is however a real eye opener to see the applications of customer analytics. However, I do wish there was more time to understand the statistics and the math behind the modelling. This course tells you the potential, but doesn't delve into the treatment of data. Also there is insufficient case studies and practice questions unlike the operations analytics module so it was difficult to get a handle of concepts without application.

Unlike the other three business analytics courses I completed, I thought this one was light on content, and lacking adequate coverage of concrete tools (formulas, software programs, etc.). In addition, the quiz questions for weeks 4 and 5 seemed to come out of left field, as if they had been prepared for a longer, more comprehensive course; not based on the small amount of material presented.

The information is topical. Nothing goes too in depth and you must do your own research outside of the course. The information is dated, but still relevant. The transcript/cc is transcribed incredibly poorly. This course requires an update and a proofreader. There are insights that are useful and helps you get a general sense of customer analytics. But from 3 or so years ago.

Material is too introductory, barely skims the surface. It fails to dive into fundamental concepts beyond mere definitions, and the accompanying examples get bogged down in irrelevant details. The last section dealing with Application with Prof Bradlow is the only one that had some value, presenting a broad array of topics in an organized, simplified yet well-rounded manner.

This course gives you an overview of customer analytics on a very basic level, however, sometimes too basic, even on a highschool niveau. For a paid service I expect the text to be tipo-free and the questions unambiguous. Some of the answers only consider the information just given in the video but not the big picture, therefore, they simply wrong.

The course is more than 4 years old! One week out of 4 was really badly presented, the quize is irrelevant to the material presented in that week. Perhaps it is expected from a marketing professor to over-promise and under deliver but I'm disappointed. The other 3 weeks were quit good to build a foundation but still the course is out of date

Takeaways:

The course structure is undoubtedly good. The given pattern is appropriate, and easy to follow.

Some audio issues persist in a couple videos. There is no feedback provided. One won't be able to check, "assess" and recheck his/ her performance in any, any of the quizzes.

Regards.

This course is purely based on videos with very general concepts. There are no excersices at all or practice problems so that concepts can actually be applied. Quizzes ask for questions that are not properly explained or related to the material. I don't recommend this course.

For the price paid I would expect something more... It gives you an idea and show you examples. Good background course in order to show your interest in the subject. It could have been organized in a different way in order to make tinteractive and

Some really good weeks (Predictive Analytics and Case Studies) and some really bad weeks (Descriptive Analytics - surveys is not Descriptive Analytics and Prescriptive Analytics - which talks of marginal economics more than Analytics)

This course doesn't go enough in detail concerning the different customer analytics methods. The last part on applications focuses too much on what was going on in marketing in the past and doesn't address digital marketing enough.

The scope of the course is extremely limited. One could sit down and watch all 5 weeks' worth of lectures in one go. I would expect a lot more depth from something that is called a course. This is one good lecture at best.