Overall it's ok. I liked the third week of the course the most, Fader teachs about the use of cases and models in detail. However, I'm not satisfied with the fourth week of the course, the teacher omitted some key calculation process, and his market structure part is confusing. Also, there are many examples in the fifth week, but no in-depth description of how to achieve it, what relative models are there, and there are no reading materials.

The course was amazing. Wide variety of topics were covered and were explained by highly knowledgeable professors as well. 4 stars rating because the prescriptive analytics professor could have been more brief about what he is teaching. Also the different accent was acting as a barrier to process information, I believe he is a man with great knowledge. But slightly difficult to understand. Thanks alot for this wonderful course.

En mi caso no tuve problemas con el idioma pero los subtítulos en español tienden un poco a confundirte, ya que hay métricas y conceptos cuyo origen es, netamente, en inglés. Si conoces un poco de inglés será más que suficiente. Por otro lado, los temas muy buenos. Tienen que tener en cuenta que es un curso enfocado en la aplicación del customer analytics para la toma de decisiones de negocio; para nada operativo.

This course was helpful in understanding the subject matter as a beginner. However, I do hope that Coursera will work towards ensuring that the assessment tests provide some kind of feedback for all responses since that should also be part of the learning experience.

I think you will find this course to be of greater value add if you are a student of marketing, business study or a sales/marketing professional.

Overall the material is solid. You need to have some marketing/analytical knowledge, otherwise some terminology or concept can be a little challenging to gasp at times. In my opinion, week 3 and week 4 were the most challenging in terms of depth of material and wording of the quiz questions. Week 5 was really interesting because there were many great examples that most of us can relate on a day-to-day basis.

There was a lot of practical information in this course, and I appreciated learning from some of the brightest minds in customer analytics. Some of the videos could use updates, but I appreciated the updates Dr. Fader included. Also, a discussion of the ethics and legality of collecting certain types of data would be a valuable addition to this course. Overall very informative and helped me in my work!

The course provides high-level information but lacks a bit more of details or resources for people to know how to start applying the models. In addition, some info is already outdated in 2020 and could benefit from a refresh for the applications and case studies. Overall, it's a decent course to provide a high-level understanding of customer analytics for non-statistical / marketing people.

Really cool and informative course -- changed the way I see analytics and the purpose of data collection! Really interesting and informative perspectives and research is shared. I felt like I was being lectured to and the quizzes are surprisingly challenging! I would loved to get some practice quizzes on regression and getting practice with excel-based questions and calculations.

Rich content with great examples. Professors are awesome.

My feedback would be to provide better content in the slides so we can review them at a later point in time and understand. The slides currently are very abstract.

The other feedback is some of the questions for the quiz are difficult to understand and more to do with how the question is interpreted rather than being tricky.

Insightful course....helping to catch up executives with the latest developments in Marketing Analytics.While it is good for a high-level strategic overview,I would've also liked some intro into specific tool-boxes and models.( say,NLP,or use of MARS,,etc.)

Additionally, pls provide specific reading for Prescriptive Analysis section ( for students without economic background)

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.

The Predictive Analytics module was great, especially with the BTWD model explained by Prof. Fader. The Descriptive Analytics module was also decently taken by Prof. Iyer. But the Predictive Analytics module by Prof. Berman was a letdown as it didn't really explain well how we should go about creating a Prescriptive Model at the granular customer level.

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.

Each week, the professors were fantastic, their knowledge is incredible, and the lectures were impactful. If I were to make a recommendation, it would be to provide a few standards set in place for each week like: have additional reading for each week, have a recap video for each week that summarizes everything in a concise manner.

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.

Good content. Some sections probably needed even more detail than what was provided. A few concepts were covered so quickly that you weren't even understanding the concept, let alone the processes involved in executing it.

Also, nobody's fault, but in 2023, there's quite a bit of this that's become dated and could use an update.

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.