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!
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.
por Sahil G•
A great course for an introduction to the world of Analytics. It is a very well drafted course which hits the right balance between a little more than just introduction, and in-depth knowledge of the subject. If you are new to this field and want to explore it, this course is perfect for you. It gives an interesting insight to the heights of usage of analytics in the world around us. By the end of the course, you will be able to answer yourself the question that should you be pursuing this field.
por Giancarlo P•
Basic course on how to get a basic knowledge and literacy on the subject. I would have liked more real-life oriented questions - the chapter about customer centricity (Fader) is more about theoretical accomplishments and publications by the course professors, with lots of theory in it more than "how do I get to solve important corporate day to day business problems with this kind of knowledge"?. But it's every university-level course flaw, I guess.
Letting this alone, great course.
por Krzysiek S•
Lecturers apparently have huge knowledge which is appreciated. However, I wish there is more knowledge in the materials/videos (for now, I think we just touch the subject without diving into the details). In addition, some of the exam questions were not covered in the materials (in my belief). However, this may be an advantage, that made me browse internet for more information which probably impact my learning process positively!
Anyway, I found this course as a good one!
por Khushbu W•
I feel so awesome after going through this course! Its really informative but I really wished there was more to do and learn while elaborating concepts , more deeper. I understand its not possible to do so for online courses, but I really want to dig down more on this and it has definitely opened new doors for my thinking towards customers & monetising business! Thanks a ton to all the lovely instructors without whom this concept would never have dawned on me!
por José L S E•
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.
por Sugata B•
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.
por Yi X B•
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.
por Rodrigo A•
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.
por Lilly N•
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.
por RASHMI K•
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.
por Shalini U•
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)
por Kerry B•
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.
por Fitrie R•
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
por Sarp E•
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.
por Ram S•
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.
por Samik D•
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.
por hongwei l•
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 :)
por Aaron F•
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.
por Jacob A F•
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.
por EDMUND M M•
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.
por Sandra S•
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.
por Miguel E•
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.
por Simphiwe M•
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
por Bill O•
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.
por Ravish S•
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).